Linked Employer-Employee Data from the IAB: LIAB Cross...

Linked Employer-Employee Data from the IAB: LIAB Cross-sectional Model 2 1993 – 2014 (LIAB QM2 9314)

Wolfram Klosterhuber, Patrick Lehnert, Stefan Seth

05/2016

FDZ-Datenreport 05/2016

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Linked Employer-Employee Data from the IAB: LIAB Cross-sectional Model 2 1993 – 2014 (LIAB QM2 9314)

Wolfram Klosterhuber, Patrick Lehnert, Stefan Seth

(Institut für Arbeitsmarkt- und Berufsforschung)

Documentation: Version 1 (LIAB_QM2_9314_EN_v1_dok1)

Dataset: Version 1 (LIAB QM2 9314 v1)

Die FDZ-Datenreporte beschreiben die Daten des FDZ im Detail. Diese Reihe hat somit eine doppelte Funktion: zum einen stellen Nutzerinnen und Nutzer fest, ob die angebotenen Daten für das For-schungsvorhaben geeignet sind, zum anderen dienen sie zur Vorbereitung der Auswertungen.

FDZ-Datenreporte (FDZ data reports) describe FDZ data in detail. As a result, this series of reports has a dual function: on the one hand, those using the reports can ascertain whether the data provided is suitable for their research task; on the other hand, the data can be used to prepare evaluations.


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Contents

1 Introduction and outline ................................................................................................................. 8

1.1 Introduction 8

1.2 Data use 9 1.2.1 Data access 9 1.2.2 Data management 10 1.2.3 File names of LIAB QM2 9314 12

1.3 Developments compared to former versions 12 1.3.1 Observation period 12 1.3.2 Incorporation of the Participants-In-Measures History Files (MTH) 12 1.3.3 Introduction of the occupation code 2010 13 1.3.4 Set of variables 14

1.4 Outline 16

1.5 List of Variables 18

1.6 Volume structure 23

2 Data sources ............................................................................................................................... 24

2.1 Employee History (BeH) 25

2.2 Benefit Recipient History (LeH) 26

2.3 Unemployment Benefit II Recipient History (LHG) 26

2.4 Jobseeker History (ASU / XASU) 28

2.5 Participants-in-Measures History File (MTH) 28

3 Data preparation and sampling procedure .................................................................................. 28

3.1 Corrections and validation procedures 28 3.1.1 Employee History (BeH) 28 3.1.2 Benefit Recipient History (LeH) 29 3.1.3 Unemployment Benefit II Recipient History (LHG) 29 3.1.4 Jobseeker History (ASU / XASU) 29 3.1.5 Participants-in-Measures History File (MTH) 30

3.2 Sampling procedure 31

3.3 Missing values 31

4 Data quality and problems .......................................................................................................... 32

4.1 Entire IEB 32

4.2 Employee History (BeH) 34

4.3 Benefit Recipient History (LeH) 35

4.4 Unemployment Benefit II Recipient History (LHG) 35

4.5 Jobseeker History (ASU / XASU) 36 4.5.1 ASU 36 4.5.2 XASU 37

4.6 Participants-in-Measures History File (MTH) 38

5 Description of variables ............................................................................................................... 38

5.1 Identifiers 38 5.1.1 Individual ID (persnr) 38 5.1.2 Establishment number (betnr) 39


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5.1.3 Establishment-ID acc. to Survey (idnum) 40

5.2 Generated technical variables 40 5.2.1 Source of spell (quelle) 40 5.2.2 Year (jahr) 40 5.2.3 Status of establishment number (betr_st) 41

5.3 Personal information 42 5.3.1 Gender (frau) 42 5.3.2 Year of birth (gebjahr) 42 5.3.3 Nationality (nation) 42 5.3.4 Nationality, grouped (nation_gr) 42 5.3.5 Marital status (famst) 43 5.3.6 Number of children (kind) 43 5.3.7 Vocational training (ausbildung) 44 5.3.8 School leaving qualification (schule) 46

5.4 Information on employment, benefit receipt and job search 47 5.4.1 Daily wage / daily benefit (tentgelt) 47 5.4.2 Occupation – current/most recent (KldB 1988) (beruf) 48 5.4.3 Occupational group – current/most recent (KldB 2010), 3 digit (beruf2010_3) 49 5.4.4 Occupational sub-group – current/most recent (KldB 2010), 4-digit (beruf2010_4) 50 5.4.5 Level of requirement – current/most recent job (KldB 2010) (niveau) 51 5.4.6 Part-time (teilzeit) 51 5.4.7 Employment status (erwstat) 52 5.4.8 Transition zone (gleitz) 54 5.4.9 Temporary agency work (leih) 54 5.4.10 Fixed-term job (befrist) 54 5.4.11 Reason of cancellation/notification/termination (grund) 55 5.4.12 Client profile (profil) 56 5.4.13 Reason for end of previous employment (art_kuend) 57 5.4.14 Working hours of job application (arbzeit) 57 5.4.15 Residual claim/ planned duration (restanspruch) 58 5.4.16 Type of provider (traeger) 58

5.5 Location data 59 5.5.1 Place of residence: district (Kreis) (wo_kreis) 59 5.5.2 Place of residence: federal state (Bundesland) (wo_bula) 60 5.5.3 Place of residence: employment agency (wo_aa) 60 5.5.4 Place of residence: regional directorate (wo_rd) 61

5.6 Establishment variables 62 5.6.1 Classification of economic activities 73 (w73_3) 62 5.6.2 Classification of economic activities 93, sub-classes (w93_5) 62 5.6.3 Classification of economic activities 93, groups (w93_3) 63 5.6.4 Classification of economic activities 03, sub-classes (w03_5) 63 5.6.5 Classification of economic activities 03, groups (w03_3) 64 5.6.6 Classification of economic activities 08, sub-classes (w08_5) 64 5.6.7 Classification of economic activities 08, groups (w08_3) 65 5.6.8 w73_3 completed by extrapolation/imputation (w73_3_gen) 65 5.6.9 Type of imputation w73_3 (group_w73_3) 65 5.6.10 w93_3 completed by extrapolation/imputation (w93_3_gen) 66 5.6.11 Type of imputation w93_3 (group_w93_3) 66 5.6.12 Year of first appearance (grd_jahr) 66 5.6.13 First appearance (grd_dat) 67 5.6.14 Year of last appearance (lzt_jahr) 67 5.6.15 Last appearance (lzt_dat) 68 5.6.16 Total number of employees (az_ges) 68 5.6.17 Number of full-time employees (regular workers + others) (az_vz) 68 5.6.18 Total number of marginal part-time workers (az_gf) 69 5.6.19 Mean imputed wage all full-time employees (te_imp_mw) 69 5.6.20 Place of work: district (Kreis) (ao_kreis) 70


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5.6.21 Place of work: federal state (Bundesland) (ao_bula) 70

5.7 Generated biographical variables 70 5.7.1 First day in employment (ein_erw) 70 5.7.2 Number of days in employment (tage_erw) 71 5.7.3 First day in establishment (ein_bet) 71 5.7.4 Number of days in establishment (tage_bet) 72 5.7.5 First day in job (ein_job) 73 5.7.6 Number of days in job (tage_job) 73 5.7.7 Number of days with benefit receipt (tage_lst) 74

6 References .................................................................................................................................. 76

7 Appendix ..................................................................................................................................... 78

7.1 Frequency tables 78

8 List of abbreviations .................................................................................................................... 79


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Abstract This data report describes the LIAB Cross-sectional Model 2 1993 – 2014 of the Linked Em-ployer-Employee Data from the IAB (LIAB QM2 9314).

Keywords: German administrative micro data, labour market data, linked employer-em-

ployee data, data manual

We would like to thank the members of the Research Data Centre (FDZ), the department Establishments and Employment (D1) as well as the members of the department IT Services and Information Management (ITM) of the Institute of Employment Research (IAB) for their collaboration and assistance. This Datenreport is a revision of the FDZ-Datenreport 02/2013 (authors: Heining, Scholz, Seth). Additionally, individual passages were adopted from IAB-internal data documentations by the ITM division of the IAB.


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Data availability

The dataset described in this document is available for use by professional researchers. Further information can be found on the website http://fdz.iab.de/.

http://fdz.iab.de/


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1 Introduction and outline

1.1 Introduction

The LIAB QM2 9314 is one of the Linked Employer-Employee datasets from the Institute for

Employment Research (IAB) provided for research analyses by the Research Data Centre

(FDZ) of the Federal Employment Agency (BA) at the IAB. The Linked Employer-Employee

Data from the IAB (LIAB) contain both establishment data from the annual waves of the IAB

Establishment Panel and individual data from the process-generated data of the BA. The LIAB

data are generated by linking these two data sources.

The IAB Establishment Panel is an annual representative survey on various topics such as the

determinants of labour demand. It has been conducted by the IAB since 1993 in West Germany

and since 1996 in East Germany, too. The IAB Establishment Panel is the central basis for the

analysis of labour demand in Germany. The establishments of the IAB Establishment Panel

are the basis for the sampling of the individual data from the Integrated Employment Biog-

raphies (IEB) of the IAB.

Data on individuals were taken from the Integrated Employment Biographies (IEB) of the IAB.

The IEB comprises all individuals who showed one of the following statuses at least once

during the observation period:

− employment subject to social security (recorded from 1975 onwards)

− marginal part-time employment (recorded from 1999 onwards)

− receipt of benefits in accordance with Social Code Book III (recorded from 1975

onwards) or Social Code Book II (recorded from 2005 onwards)

− registered with the Federal Employment Agency (Bundesagentur für Arbeit - BA) as

a jobseeker (recorded from 2000 onwards)

− participation in an employment or training measure (recorded from 2000 onwards)

These data, which come from different sources, are merged in the IEB and the statuses are

depicted exact to the day.

Whilst the Employee History (Beschäftigtenhistorik - BeH) is the origin of the information on

employment subject to social security and marginal part-time employment, the receipt of ben-

efits in accordance with Social Code Book III (SGB III) and Social Code Book II (SGB II) is

recorded in the Benefit Recipient History (Leistungsempfängerhistorik - LeH) and the Unem-

ployment Benefit II Recipient History (Leistungshistorik Grundsicherung - LHG). The

Jobseeker Histories (Arbeitsuchendenhistoriken - ASU and XASU) are the data source for the


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periods of job search recorded by the BA, whilst participation in employment and training

measures is recorded in the Participation-in-Measures History File (Maßnahmeteilnahmehis-

torik - MTH).

The data report focuses on the description of the individual data in the LIAB QM2 9314. Further information on the IAB Establishment Panel can be found here. An overview of the different LIAB datasets can be found here.

The data report on the LIAB QM2 9314 is structured as follows. Besides the introduction,

Chapter 1 contains information on data access, as well as, an outline of the data, the volume

structure and a list of variables. A description of the individual data sources can be found in

Chapter 2. Data preparation and data quality are discussed in Chapters 3 and 4, whilst the

individual variables are described in Chapter 5.

1.2 Data use

1.2.1 Data access The weakly anonymous LIAB data may only be analysed on-site at the FDZ and through sub-

sequent remote data access.

In order to be able to use the data, it is first necessary to submit an application to the Research

Data Centre (FDZ). The Federal Ministry of Labour and Social Affairs (Bundesministerium für

Arbeit und Soziales – BMAS) makes the decision regarding the approval of the research pro-

ject. When approval has been granted, a data use agreement is concluded with the re-

searcher’s institution. Details on applying for the dataset and possibilities for data processing

can be found on the FDZ homepage.

Certain variables which make it possible to identify individuals or establishments are only dis-

closed in their original form (e. g. wo_bula). If it is necessary for the analysis objective and

justified explicitly in the application for data access, these variables can be provided, too (e. g.

wo_kreis). The variables which are particularly sensitive from the viewpoint of data protection

legislation are:

Individual data:

− nationality (nation)

− Berufsuntergruppe (beruf2010_4)

− place of residence: employment agency area (wo_aa)

− place of residence: district (Kreis) (wo_kreis)

http://fdz.iab.de/en/FDZ_Establishment_Data/IAB_Establishment_Panel.aspx

http://fdz.iab.de/en/Integrated_Establishment_and_Individual_Data/LIAB.aspx


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Establishment File:

− place of work: district (Kreis) (ao_kreis)

− economic activity 93 – sub-class of economic activity (five-digit code) (w93_5)

− economic activity 03 - sub-class of economic activity (five-digit code) (w03_5)

− economic activity 08 - sub-class of economic activity (five-digit code) (w08_5)

− Date of first appearance (grd_dat)

− Date of last appearance (lzt_dat)

IAB Establishment Panel:

− type of local authority (BIK-Gemeindetyp, since 1998)

− district key number (Kreiskennziffer, since 1998)

− economic activity – sub-class of economic activity (wz93)

sub-class of economic activity for 2000, 2001, 2003; economic group for 2002



1.2.2 Data management The LIAB data have a modular structure and include labels both in German and English lan-

guage1. The LIAB data are stored in several files (see figure 1). The first module contains the

waves of the IAB Establishment Panel. In these waves you can find information about job

trends, business policies and development of business, company investments, innovations in

business, public funding, personnel structure, vocational trainings and training posts, worker

inflow and outflow, personnel search, wages and salaries, working hours, further trainings or

general data of the company.

The individual data is stored annually in the second module. These files contain identifiers

(individual IDs and establishment IDs), personal variables, information on employment, benefit

receipt and job-search activity, variables regarding place of residence as well as technical and

biographical variables.

The third module, the Establishment File, contains the establishment number, the year and

variables regarding the place of work and economic activities in aggregate form as well as

1 With the Stata commands label language de or label language en labels can be switched to

English or German.


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other non-sensitive establishment information as of the reference date of 30 June. The Estab-

lishment File is extracted from the Establishment History Panel (BHP). The BHP is a 50%

sample of all establishments in Germany, which cover at least one employee liable to social

security on the 30 June of a year. Since 1999 marginal part-time employees are included, too.

The source of the BHP is the Employee History (BeH) of the Institute for Employment Research

(IAB). In the BHP individual data of the BeH is aggregated on the establishment level via the

establishment numbers. Further information on the BHP can be found here. Variables, which

are marked with a “*” in the list of variables (see Table 4), are stored in the Establishment File.

Following a justified application further establishment variables from the BHP can be provided.

Figure 1: Data management of the Linked Employer-Employee dataset Cross-sectional Model 2.

Establishment and individual variables are therefore organized separately, which makes the

structure of the data clear and saves storage space in the data management system. The

linkage between the waves of the IAB Establishment Panel and the individual data is based

on the establishment number, which is included in both modules (idnum; see Box 1). In con-

trast, the Establishment File and individual data are linked via artificial establishment number

(betnr; see Box 2) and the year of the data set. The same applies for the extension files of the

BHP. The linkage between single files is provided by different program-specific commands for

data formatting and data analysis of the used software packages. For example, the linkage in

Stata can be conducted by the “merge”-command.

http://fdz.iab.de/en/FDZ_Establishment_Data/Establishment_History_Panel.aspx

http://doku.iab.de/fdz/access/BHP_Variablen_EN.pdf


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All sensitive variables listed in the previous section are located in the corresponding files, as

long as the files have been requested and approved.

use liab_qm2_9314_v1_pers_2000.dta sort idnum merge m:1 idnum using iabbp_2000.dta

Box 1: Example for Stata 14; Linkage between the individual data and a single wave of the IAB Establishment Panel (here 2000)

1.2.3 File names of LIAB QM2 9314 Waves of the IAB Establishment Panel

iabbp_jjjj.dta, jjjj = 1993 – 2014

Individual data

liab_qm2_9314_v1_pers_jjjj.dta, jjjj = 1993 - 2014

Basis Establishment File

liab_qm2_9314_v1_bhp_basis_v1.dta

Extension Files BHP

Core dataset with variable blocks

liab_qm2_9314_v1_bhp_v1_jjjj.dta, jjjj = 1993 - 2014

Worker flows

liab_qm2_9314_v1_bhp_inflow_v1.dta

liab_qm2_9314_v1_bhp_outflow_v1.dta

Establishment dynamics

liab_qm2_9314_v1_bhp_entry_v1.dta

liab_qm2_9314_v1_bhp_exit_v1.dta

1.3 Developments compared to former versions

1.3.1 Observation period The LIAB QM2 9314 is an update of the LIAB QM2 9310. Therefore, both data sets differ in

the covered the time period.

1.3.2 Incorporation of the Participants-In-Measures History Files (MTH) Unlike the previous version, the LIAB QM2 9314 also contains information from the Partici-

pants-In-Measures History Files (Maßnahmeteilnahmehistoriken (MTH)), which are also con-

tained in the IEB, though the categories of measures are only provided in aggregated form.


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1.3.3 Introduction of the occupation code 2010 Information on vocational training, the occupation/activity performed and the occupational sta-

tus is transmitted by means of notifications made by the employer in accordance with the Data

Collection and Transmission Regulation (DEÜV) (see Section 2.1) using a so-called occupa-

tion code. The new occupation code 2010 was adopted for periods with an end date later than

30.11.2011 (for further details see Bertat et al., 2013). The decision to switch to the new occu-

pation code was made by the central organisations of the social security agencies as a number

of facts could no longer be recorded in a way that was up-to-date and realistic using the occu-

pation code 2003.

As the notifications made by employers in accordance with DEÜV go into the Employee His-

tory (BeH), the change of the occupation code impacts almost exclusively on observations

from this source. The measurement of the following characteristics already reported using the

occupation code 2003 is affected by this change: working hours, occupation, occupation-al

status and school and vocational qualification level. In addition, since the switch to the new

occupation code, details are also available about whether an employment relationship is fixed-

term and whether a person is employed by a temporary work agency to be hired out to other

firms. The most important consequence is the switchover to a new occupational classification.

Instead of the previous Classification of Occupations 1988 (Klassifikation der Berufe 1988

(KldB 1988)), the more highly differentiated KldB 2010 is reported with the new occupation

code.1.3.3 shows which new variables are added as a result of the switch to the new occupa-

tion code, which variables are discontinued and which are contained in the data in a different

form in future.2 Another important change is the discontinuation of the variable ‘occupational

status and working hours’ (stib), as most of the values given in this variable can no longer be

traced using the new occupation code. The categories of the previous stib variable that are

available consistently across the entire observation period (employment status as an appren-

tice, distinction between part-time and full-time) can be traced in other variables in future. Sec-

tion

Section 4.2 shows what consequences the switch to the new occupation code has on the

quality of the data in the BeH observations. One of the most serious consequences of the

switchover is a temporary increase in the number of missing values in the variables reported

by the employers via the occupation code. This was also the case with the new ‘working time’

variable, which is why an imputed version of the variable was used for the LIAB. The problem

of increased numbers of missing values mainly concerns the years 2011 and 2012.

2 See Paulus/Matthes, 2013, for details regarding the Classification of Occupations 2010.


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1.3.4 Set of variables For reasons of data economy and due to lack of demand, some variables that were contained

in the LIAB QM2 9310 are no longer included.

Actual users of the LIAB models were contacted in an online survey. The analysis showed that

several generated biographical variables are hardly used.

In addition, some variables had to be removed as they would no longer have been available

for the entire observation period as a result of the switch to the new occupation code. The

adoption of the new occupation code made it possible to include a number of variables that

were not contained previously. In some cases this was possible for the entire period, by means

of recoding, but in other cases it was only possible for observations from the time of the switch-

over at the end of 2011 on-wards. Table 1 provides an overview of the changes in the set of

variables across all sources.

Variable Type of change Explanation

Number of benefit re-ceipt spells (anz_lst)

D Discontinued without replacement

Place of work: employ-ment agency (ao_aa)

D Discontinued without replacement; relevant information contained in wo_aa

Place of work: regional directorate (ao_rd)

D Discontinued without replacement; relevant information contained in wo_rd

Contract period (be-frist)

N Introduced with new occupation code; available from 2011 onwards

Original start date (be-gorig)

D Discontinued without replacement; annual notifications can still be identified by the variable grund.

Occupational group – current/most recent (KldB 2010), 3-digit (beruf2010_3)/ 4-digit (beruf2010_4)

N Introduced with new occupation code; available for entire period by recoding old variable.

School education and vocational training (bild)

D Replaced by vocational education and training

Original end date (en-dorig)

D Discontinued without replacement; annual notifications can still be identified by the variable grund.

Employment status 2, 8 days before first day in establishment (es-tat2_8tv)


Employment status 5 years after reference day (estat5jn)


Employment status 8 days before first day in establishment (es-tat8tv)



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Variable Type of change Explanation

Employment status prior to job search (es-tatvor)


Health problems (ge-sund_ein)


BA client group (kunden_gr)

D Replaced by client profile

Type of benefit (lart) D Discontinued without replacement Temporary work (leih) N Introduced with new occupation code; available from 2011

onwards Daily wage 5 years af-ter reference day (lohn5jn)


Daily wage 8 days be-fore first day in estab-lishment (lohn8tv)


Level of requirement – current/most recent (KldB 2010) (niveau)

N Introduced with new occupation code; available for entire period by recoding old variable.

Client profile (profil) N Replaces old variable kunden_gr Skills level (quali) D Now contained in vocational education and training School leaving qualifi-cation (schbild)

D Now contained in variable ‘schule’

Severe disability status (schweb)


Occupational status and working hours (stib)

D Discontinued because no longer recorded in notification procedure; distinction between full-time and part-time can be traced in variable ‘part-time’; employment status “ap-prentice” recorded in variable ‘erwstat’.

Number of days in pre-vious job or unemploy-ment (tage_estat2_8tv)


Number of days of benefit receipt / Num-ber of days of benefit receipt 2 (tage_lst, tage_lst2)

N Instead of two variables for the number of days with benefit receipt there is only one left (tage_lst). It corresponds to tage_lst2 in the LIAB QM2 9310 with the difference, that only periods of unemployment benefits are included in the calculation. For example unemployment as-sistance is no longer considered.

Table 1: Changes in the set of variables; N = new, D = dropped

With regard to the discontinuation of the variables ‘place of work: employment agency / re-gional directorate’ (ao_aa / ao_rd) it should be noted that the local employment agency re-sponsible is defined by the place of residence and not by the place of work. The distinction is therefore not useful anyway, so discontinuing the two variables does not lead to any loss of information.


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1.4 Outline

Table 2: Outline

Topics/ groups of varia-bles

Employee History (Beschäftigten-Historik - BeH): Annual notifications and end-of-employment notifications submit-ted to the social security agencies for employees covered by social security and employees in marginal part-time employment. Benefit Recipient History (Leistungsempfänger-Historik - LeH): Information on benefit receipt in accordance with Social Code Book III (SGB III) for recipients of unemployment benefit, unem-ployment assistance and maintenance allowance. Unemployment Benefit II Recipient History drawn from A2LL (Leistungs-Historik-Grundsicherung aus A2LL - LHG): Data on individuals in receipt of basic social security benefits in ac-cordance with Social Code Book II (SGB II) (Types of institution: cooperation of employment agencies and municipalities/joint facili-ties, separated responsibilities/municipalities exercising their duties separately, authorised municipalities) Jobseeker History (Arbeitsuchenden-Historik - ASU): Information on job search activity Jobseeker History drawn from XSozial-BA-SGB II (XASU): Information on job search activity reported via the transmission standard XSozial-BA-SGBII to the BA by authorised municipalities. Participants-in-Measures History File (MTH): Information on participation in employment and training measures (not including measures of the authorised munici-palities) IAB Establishment Panel Information from the annual Establishment Panel with shifting pri-orities.

Data unit Establishments, Employees covered by social security (including marginal part-time employees from 1999 onwards), benefit recipi-ents, jobseekers, participants in measures

Number of cases Linked establishments: 4,188 to 15,061 per year, 60,124 in total Individuals: 1,592,874 to 2,536,470 per year, 11,581,550 in total

Period covered The period covered depends on the data source. BeH 01 January 1993 – 31 December 2014 (2012: 30-month file; 2013: 18-month file; 2014: 6-month file) LeH 01 January 1993 – 31 December 2014 LHG 01 January 2005 – 31 December 2014 ASU 01 January 1997 – 31 December 2014 XASU 01 January 2005 – 31 December 2014 MTH 01 January 2000 – 31 December 2014


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Time reference Establishment data: reference date 30 June Individual data: referance date 30 June

Date of territorial alloca-tion

Territorial allocation updated as of 31.12.2014

Institutions involved Social security agencies, Federal Employment Agency (Bun-desagentur für Arbeit), TNS Infratest Munich, SÖSTRA Institute Ber-lin (Institute for Socio-economic Structural Analysis)

Update frequency Individual data/ Establishment data: continuous Data of the IAB establishment panel: once a year

File format and size Stata Establishment data (without sensitive variables): IAB Establishment Panel: about 1.5 to 10 MB per year Establishment file: about 68 MB Individual data (without sensitive variables): about 120 to 187 MB per year

File organisation The LIAB data on individuals are stored in one file per year. A file with establishment information taken from the BHP can be linked to the data on individual data via betnr and year. Following a justified application further establishment variables from the BHP can be provided. The IAB Establishment Panel files remain unchanged as one file per wave and can be linked to the data on individuals by idnum.

Data access On-site use at the FDZ of the BA at the IAB and subsequent remote data access

Degree of anonymisa-tion Weakly anonymous

http://doku.iab.de/fdz/access/BHP_Variablen_EN.pdf


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Sensitive variables Individual file: Nationality (nation) (beruf2010_4) Place of residence: district (Kreis) (wo_kreis) Place of residence: employment agency area (wo_aa) Establishment file: Place of work: district (Kreis) (ao_kreis) Economic activity - sub-class of economic activity (five-digit code) (w93_5) Economic activity - sub-class of economic activity (five-digit code) (w03_5) Economic activity - sub-class of economic activity (five-digit code) (w08_5) First appearance of establishment (grd_dat) Last appearance of establishment (lzt_dat) IAB-Betriebspanel: type of local authority (BIK-Gemeindetyp, since 1998) district key number (Kreiskennziffer since 1998) Economic activity 1993 (wave 2000, 2001, 2003 5-digit code, wave 2002 3-digit code of WZ93) Economic activity 2003 (up to wave 2004 5-digit code of WZ03), Economic activity 2008 (up to wave 2009 5-digit code of WZ08)

Citation method Linked Employer-Employee Data from the IAB, Cross-sectional Model 2 1993 – 2014 (LIAB QM2 9314), Nuremberg 2016 Data: “The data basis of this paper is the Cross-sectional Model 2 (ver-sion 1993 – 2014) of the Linked Employer-Employee Data from the IAB. The data were accessed on-site at the Research Data Centre of the Federal Employment Agency at the Institute for Employment Research (FDZ) and/or via remote data access at the FDZ.” Data documentation: Klosterhuber, Wolfram; Lehnert, Patrick; Seth, Stefan (2016): Linked Employer-Employee Data from the IAB: LIAB Cross-sec-tional model 2 1993 – 2014 (LIAB QM2 9314). FDZ-Datenreport, 05/2016 (en), Nuremberg.

Current data version Linked Employer-Employee Data from the IAB, cross-sectional model 2 1993 – 2014 (LIAB QM2 9314)

1.5 List of Variables

The overview of variables lists the variable names and the longer descriptions of the variables.

It also shows which variables are available for which data sources:


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Table 3: Degrees of completeness of the Variables

Variable is available for the data source. Degree of completeness always > 0.85.

Variable is available for the data source. Lower or varying degree of completeness, see description of variable and fre-quency count.

Variable is not available for this data source. Degree of completeness always < 0.05.

Example: the variable “Daily wage, daily benefit rate” (tentgelt) is only available for BeH and

LeH observations; the observations of the other data sources contain “.n” in this variable. An-

other characteristic is that some variables have different contents depending on the data

source. For instance, for BeH observations the employment status variable (erwstat) contains

the person group of the employment notification procedure, for LeH observations it contains

the type of benefit, for LHG observations it contains the SGB II status and for ASU and XASU

observations the job search status and for MTH the Participation-in-Measures History. These

differences are not immediately obvious from the variable name for every variable.

Table 4: List of variables with degree of completeness

List of variables Mo-dule

Page BeH LeH ASU LHG XASU MTH

Identifiers 38

Individual ID (persnr) 38

Establishment number (betnr) * 39

Establishment-ID acc. to Survey (id-num) 40

Generated technical variables 40

Source of spell (quelle) 40

Year (jahr) * 40


20



Status of establishment number (betr_st) 41

Personal information 42

Gender (frau) 42

Year of birth (gebjahr) 42

Nationality (nation) 42

Nationality, grouped (nation_gr) 42

Marital status (famst) 43

Number of children (kind) 43

Vocational training (ausbildung) 44

School leaving qualification (schule) 46

Information on employment, benefit receipt and job search 47

Daily wage / daily benefit (tentgelt) 47

Occupation – current/most recent (KldB 1988) (beruf) 48

Occupational group – current/most re-cent (KldB 2010), 3 digit (beruf2010_3) 49

Occupational sub-group – current/most recent (KldB 2010), 4-digit (beruf2010_4)

50

Level of requirement – current/most re-cent job (KldB 2010) (niveau) 51

Part-time (teilzeit) 51

Employment status (erwstat) 52


21



Transition zone (gleitz) 54

Temporary agency work (leih) 54

Fixed-term job (befrist) 54

Reason of cancellation/notification/ter-mination (grund) 55

Client profile (profil) 56

Reason for end of previous employ-ment (art_kuend) 57

Working hours of job application (ar-bzeit) 57

Residual claim/ planned duration (restanspruch) 58

Type of provider (traeger) 58

Location data 59

Place of residence: district (Kreis) (wo_kreis) 59

Place of residence: federal state (Bun-desland) (wo_bula) 60

Place of residence: employment agency (wo_aa) 60

Place of residence: regional directorate (wo_rd) 61

Establishment variables 62

Classification of economic activities 73 (w73_3) * 62

Classification of economic activities 93, sub-classes (w93_5) * 62

Classification of economic activities 93, groups (w93_3) * 63


22







w73_3 completed by extrapolation/im-putation (w73_3_gen) * 65

Type of imputation w73_3 (group_w73_3) * 65

w93_3 completed by extrapolation/im-putation (w93_3_gen) * 66

Type of imputation w93_3 (group_w93_3) * 66

Year of first appearance (grd_jahr) * 66

First appearance (grd_dat) * 67

Year of last appearance (lzt_jahr) * 67

Year of last appearance (lzt_jahr) * 68

Total number of employees (az_ges) * 68

Number of full-time employees (regular workers + others) (az_vz) * 68

Total number of marginal part-time workers (az_gf) * 69

Mean imputed wage all full-time em-ployees (te_imp_mw) * 69

Place of work: district (Kreis) (ao_kreis) * 70

Place of work: federal state (Bun-desland) (ao_bula) * 70


23



Generated biographical variables 70

First day in employment (ein_erw) 70

Number of days in employment (tage_erw) 71

First day in establishment (ein_bet) 71

Number of days in establishment (tage_bet) 72

First day in job (ein_job) 73

Number of days in job (tage_job) 73

Number of days with benefit receipt (tage_lst) 74

1.6 Volume structure

The second column in table 5 shows the number of establishments with a valid interview in the

IAB Establishment Panel. Not all of the surveyed establishments can be linked to the individual

data. The number of establishments, which can be linked to the individual data, is listed in the

third column. The number of individuals per year is presented in the fourth column. It should

be taken into account that the number of data lines in the individual data is higher than the

explicit number of individuals. Parallel employment contracts, benefit receipt and job search

are documented respectively in one data line. The last column refers to the number of different

artificial establishment numbers in the individual data. Due to parallel employment in estab-

lishments which did not participate in the IABEstablishmentPanel, these numbers are much

higher than the numbers in the second and third column. It is apparent that the number of

establishments has quadrupled whereas the number of employees remained on the same

level. This is caused by a decline in the share of large establishments in the IAB Establishment

Panel.


24

Table 5: Volume structure

2 Data sources

The administrative individual data were drawn from the Integrated Employment Biographies

(IEB) of the IAB. They unite data from five different data sources, each of which may contain

information from different administrative procedures. In addition, some supplementary varia-

bles from these data sources which are not part of the IEB are incorporated into the adminis-

trative individual data. Observations from all of the data sources shown, with the exception of

participation in employment and training measures (MTH), are incorporated from the IEB.

Year

Establishments with an interview in the IAB Estab-lishment Panel

Establishments with an interview in the IAB Estab-lishment Panel and a linkage to individual data

Individuals

Establishments in the

LIAB QM2 9314 in total

1993 4,265 4,188 2,584,428 10,787 1994 4,154 4,041 2,223,882 9,312 1995 4,114 3,933 1,884,539 9,023 1996 8,604 8,292 2,472,577 13,637 1997 8,917 8,385 2,121,134 13,042 1998 9,334 8,787 2,080,464 13,823 1999 9,915 9,433 2,019,158 54,181 2000 14,083 13,462 2,343,767 69,511 2001 15,782 14,981 2,536,470 73,630 2002 15,682 14,698 2,396,839 67,204 2003 16,165 15,061 2,184,614 74,257 2004 16,063 14,832 2,385,653 98,790 2005 16,280 14,870 2,396,946 105,538 2006 15,976 14,460 2,229,583 104,362 2007 16,181 14,590 2,017,019 101,360 2008 16,058 14,388 1,961,733 102,596 2009 16,145 14,414 1,909,731 105,725 2010 16,296 14,515 1,640,595 96,752 2011 15,967 14,171 1,763,957 102,833 2012 16,270 14,469 1,851,776 110,794 2013 16,495 14,660 1,784,282 110,086 2014 16,385 14,473 1,592,874 99,406


25

Figure 2: Data sources of the LIAB

2.1 Employee History (BeH)

The source of data regarding employment is the Employment History (Beschäftigten-Historik -

BeH) of the IAB. The data basis is the integrated notification procedure for health, pension and

unemployment insurance, which came into effect as of 01 January 1973 (and was extended

to cover Eastern Germany as of 01 January 1991) and is known by the abbreviation DEÜV

(previously DEVO / DÜVO) (for further details see: Bender et al. 1996, p. 4 et seq.; Wermter

/Cramer 1988). Under this procedure employers are required to submit notifications to the re-

sponsible social security agencies concerning all of their employees covered by social security

at least once a year. The BeH covers all white- and blue-collar workers as well as apprentices

as long as they are not exempt from social security contributions. This means that civil serv-

ants, self-employed persons and regular students (see Cramer 1985) are in principle not rec-

orded in the BeH. Since the notification procedure was changed on 01 January 1999, employ-

ees in marginal part-time employment and unpaid family workers have also been recorded (not

contained in the data until 01 April 1999). The data are recorded by the health insurance com-

panies, collected and edited by the Federal Employment Agency (BA) and subsequently inte-

grated into the History File by the IAB.


26

The administrative individual data are supplemented with establishment data (basic establish-

ment data and BHP extension file). They are taken from the Establishment History Panel (Be-

triebs-Historik-Panel - BHP), which is also based on the BeH.

When linking individual data with establishment data it has to be taken into account that the

variables in the Basis Establishment File as well as in the BHP Extension Files are aggregated

on 30 June of a year. Unlike the data on individuals, the establishment variables are therefore

not spell data but are only valid on 30 June precisely each year.3

The Establishment File is linked with the Individual File via the programme-specific commands

of the software packages used for preparing and analysing the data. In Stata, for instance, the

two files can be linked using the “merge“ command in connection with the relevant paths (see

Box 2).

use liab_qm2_9314_v1_pers_2000.dta sort betnr jahr merge m:1 betnr jahr using liab_9314_v1_bhp_basis_v1_2000.dta

Box 2: Example code for Stata 14; Linkage between the individual data and the Establishment File

2.2 Benefit Recipient History (LeH)

The Benefit Recipient History (Leistungsempfänger-Historik - LeH) of the IAB covers periods

during which individuals receive earnings replacement benefits from the Federal Employment

Agency. The benefits comprise unemployment benefit, unemployment assistance and mainte-

nance allowance, in other words not benefits under the sphere of Social Code Book II (e.g.

unemployment benefit II). Since the entitlement to receive benefits depends on meeting certain

legal requirements, unemployment periods in which the requirements are not met (e.g. no en-

titlement for receipt of benefits in case of unemployment assistance, or non-completion of the

qualifying period for unemployment benefit) are not reported in the Benefit Recipient History.

2.3 Unemployment Benefit II Recipient History (LHG)

The Unemployment Benefit II Recipient History (Leistungshistorik Grundsicherung - LHG) con-

tains information about individuals who are eligible for benefit and capable of work, about the

members of their benefit community (Bedarfsgemeinschaft) in accordance with § 7 SGB II and

about certain individuals associated with the benefit community. In the SIAB it is not possible,

3 An extreme example: an employment notification exists from 01 January 2006 to 30 May 2006; the

establishment goes bankrupt in June 2006. There is then no information about this establishment in the BHP for 2006.


27

however, to link individuals with benefit receipt in accordance with Social Code Book II (SGB

II) at the level of benefit communities. The receipt of benefits in accordance with SGB II covers

both basic social security benefits (e.g. Unemployment Benefit II) and supplements to unem-

ployment benefit or additional benefits. The LHG does not contain any information about the

benefit rates, however. As the amount of benefit received is not determined at the level of the

individual but at the level of the benefit community in the case of Unemployment Benefit II, it

is difficult to assign an individual benefit rate and this is not done in the LIAB.

Unlike the benefits in the sphere of Social Code Book III, the Federal Employment Agency

(BA) is not the sole institution responsible for administering the benefits. The data therefore

distinguish between the three possible types of institution responsible for implementing SGB

II:

− Cooperation of employment agencies and municipalities (Arbeitsgemeinschaften – ARGE)

until the end of 2010 / joint facilities (gemeinsame Einrichtungen) since 2011), in which the

BA and the municipality deal with tasks jointly,

− separated responsibilities (getrennte Trägerschaft) / municipalities exercising their duties

separately (until 2011) – here the tasks are divided between the BA and the municipality4,

− authorised municipalities, which are also called opting local authorities or opting municipal-

ities according to the initial experimental clause of Section 6a - here the local authority is

responsible for all tasks in the sphere of SGB II.

The data of the “Unemployment Benefit II Recipient History drawn from A2LL” (LHG) come

from different reporting procedures. As a rule, the IT procedure A2LL was used in all ARGE

cooperation projects until 2010, and in joint facilities from 2011 onwards5. Authorised munici-

palities use various IT procedures of their own and transmit their data to the BA by means of

the XSozial-BA-SGB II standard. Both of the procedures are used by municipalities with sep-

arated responsibilities. The different data standards affect the scope and quality of the data

supplied.

The earliest available data in the LHG are from 1 January 2005. However, the data source is

incomplete until the beginning of 2007 (see Section 4).

4 The municipality pays the costs for housing and heating (Section 22 SGB II) and additional one-off

benefit payments to cover extra costs (Section 23 (3) SGB II) and the additional benefits to support integration in accordance with Section 16 (2) Clause 2 No. 1 - 4 SGB II. The BA, on the other hand, covers the costs for regular benefits, social security contributions and integration benefits (SGB III and SGB II) and specific benefits excluding the additional benefits to support integration cited above.

5 In 2014 A2LL was gradually replaced by ALLEGRO as the new IT procedure for Unemployment Benefit II in the sphere of SGB II in joint facilities.


28

2.4 Jobseeker History (ASU / XASU)

Data about jobseekers are stored in the Jobseeker History (Arbeitsuchendenhistorik – ASU /

XASU). The ASU data source contains information on jobseekers who are registered with em-

ployment agencies, and from 2005 onwards also includes ARGE cooperation projects and

separated responsibilities for the implementation of SGB II. The XASU data source, on the

other hand, contains the data of jobseekers in receipt of Unemployment Benefit II (ALG-II) from

authorised municipalities from 2005 onwards. These data are reported in accordance with the

X-Sozial-BA-SBG II standard.

2.5 Participants-in-Measures History File (MTH)

The Participants-In-Measures History Files (Maßnahmeteilnahmehistoriken - MTH) contain in-

formation that can be assigned to different legal spheres. First, they contain active labour mar-

ket policy measures in accordance with Social Code Book III and participation in such

measures. Second, the MTH contain measures in the legal sphere of Social Code Book II if

these are recorded in BA administrative procedures. This means in particular that no measures

implemented by the authorised municipalities are recorded in the MTH as these are reported

via a different standard, XSozial. Information from these institutions is not included in the IEB

due to a number of data problems. The earliest available data in the MTH are from 1 January

2000.

3 Data preparation and sampling procedure

3.1 Corrections and validation procedures

Before the data from the data sources specified in Chapter 2 are merged to form the IEB they

undergo source-specific correction procedures (see the following chapters). The IEB as a

whole undergo the following corrections:

− Observations in which the age is under 13 or over 75 are deleted.

− Observations whose end date precedes the start date are deleted.

Inconsistent information on gender or date of birth within an account is corrected, datasets

without information on the date of birth are deleted. Further corrections, like in the IABS (Com-

pletion procedure of presumably missing notifications, strike corrections) do not happen.

3.1.1 Employee History (BeH)

− To capture a person group that is as constant as possible over time, some person groups

for which data are not available throughout the entire observation period are excluded. To


29

be precise, from 1999 onwards only the person groups 101, 102, 103, 105, 106, 112, 118,

119, 120, 140, 141, 142, 143, 149, 201, 203 and 205 are supplied, as well as the two

groups 109 and 209, which indicate people in marginal part-time employment. Groups that

are not included from 1999 onwards include people in short-term employment, i.e. person

groups 110, 202 and 210.

− Observations with earnings amounting to zero or with no details on earnings, and the value

101 for the person group variable, and the value 50 for the reason for notification (annual

notification) are not incorporated into the IEB.

− Gender and date of birth are taken from the social security number. This information

is harmonised across data sources.

− The territorial allocations for place of work and place of residence are updated to the

status as of 31 December 2010.

3.1.2 Benefit Recipient History (LeH)

− It must be taken into account that in cases of ongoing receipt the end date corre-

sponds to the end of the period for which the benefit is allowed and not the end of

the benefit receipt period. LeH observations which go beyond 14 July 2011 thus de-

pict the period for which the benefit is allowed. Observations with no end date or an

invalid end date are excluded from further processing, since in these cases it cannot

be assumed that a benefit payment was made at all.

− Observations without a valid start date are excluded.

− Observations whose end date precedes the start date are excluded.

− If the end date for the receipt of unemployment assistance precedes the start date

by one day, then the end date is increased by one year.

− The territorial allocations are corrected analogous to the BeH.

3.1.3 Unemployment Benefit II Recipient History (LHG)

− It only contains observations of people who are capable of work and people over the

age of 65.

− Individual-related variables that are available for the (X)LHG sources are valid for the

entire observation period.

− The territorial allocations are corrected analogous to the BeH.

3.1.4 Jobseeker History (ASU / XASU)

− Observations whose end date precedes the start date are not included in the ASU.

− There is no consolidation of the ASU observations of individual persons. Therefore,

overlaps between ASU observations might occur.


30

− Individual-related variables that are only available for the (X)ASU sources always

refer to the beginning of the spell.

− A new ASU spell is generated as soon as a change of status (e.g. from job-seeking

to unemployed) occurs. This also applies if the type of institution (employment

agency, joint facility, authorised municipalities, separated responsibilities) changes.

The ASU data basis only distinguishes between observations with the status “unem-

ployed”, “job seeker” as well as since 2006 “seeking advice” and “without status”. In

the IEB, however, an additional status “ill / not able to work” is available. The em-

ployment status “ill / not able to work” is assigned to IEB spells when in the ASU data

basis

o a preceding observation with the status “unemployed” exists which joins the

next observation without a gap and has “incapacitated for work” as the rea-

son for exit, and

o a subsequent observation with the status “unemployed” exists which also

follows without a gap, and

o the observation itself does not have the status “unemployed” but “jobseeker”.

− In contrast to the ASU source, the XASU only distinguishes the status

o “not unemployed, but seeking job” or

o “unemployed and simultaneously seeking job”.

− Unlike the ASU, periods of illness are not taken into account when generating the

“employment status”, since there is no information about illness available in the

XASU data. When calculating the unemployment duration with XASU observations,

gaps due to illness cannot be identified.

− The XASU contains non-overlapping time periods for individuals. If one of the follow-

ing variables changes, in each case a new data spell is generated for the XASU:

o Change of job search status

o Change of availability

o Change of SGB II institution (due to notification procedure)

o Change of place of residence

o The territorial allocations are corrected analogous to the BeH.

3.1.5 Participants-in-Measures History File (MTH) - Observations whose end date precedes the start date were excluded.

- Observations generated more than a year after the end of the measure are deleted if

another observation exists that was generated within the year after completion of the

measure.


31

- Only the most recent record of an individual case of participation in a measure is used.

- Only cases of participation in measures that are classified as “actually took place” are

included in the IEB. Cases of participation that did not take place or have not yet taken

place are deleted. Cases of participation are also classed as not having taken place

when a deletion date is set during the participation in a measure.

- Certain types of measure are not included. These include services to support careers

advice and job placement, mobility assistance and pure rehabilitation measures.

3.2 Sampling procedure

The foundation of the sampling procedure in the LIAB are the establishments from the IAB

Establishment Panel.

The IAB Establishment Panel is an annually conducted survey. The sample is drawn from the

population of all German establishments with at least one employee liable to social security.

The sample is stratified according to industry, firm size, and federal state.

The data on individuals in the LIAB QM2 9314 are taken from the IEB according to the following

procedure. At first all of the establishments in the IAB Establishment Panel, which have a valid

interview in the respective year (1993 to 2014) are selected. In a second step, all observations

of individuals are drawn from the IEB that have been employed at one of these firms on 30

June. For these individuals, all observations are made available which contain the 30 June of

the respective year.

3.3 Missing values

In the LIAB, missing values are coded as follows:

Term Value Description No (valid) details availa-ble

.z Values of a variable which are not systematically missing, i.e. the variable is available in principle for the data source, but no details are available for the value considered or rather cannot be interpreted rea-sonably.

Systematically not avail-able

.n A variable is not available in principle for a data source (dark grey cells in the overview of variables in Chapter 1.5) or is not available for a certain period.


32

4 Data quality and problems

4.1 Entire IEB

The IEBs contain employment histories. Not each kind of employment is included in the ad-

ministrative data, though. Certain persons with certain courses of life are not represented in

the IEBs at all.

For evaluation purposes, it is often relevant to know gaps in the included biographies (e.g. for

control group creation, course of life analyses, etc.) The gaps listed in the following are defined

as periods of time after the end of school education for which no data is included in the IEBs.

These gaps can be divided into

− gaps with no information available, and

− gaps for which information may be available from the reason for notification / reason

for end of benefit receipts / reason for discontinuation of SGB II / reason for dereg-

istration characteristic of the direct preceding dataset (if a corresponding dataset

exists).

These gaps were identified using the manifestation of the reason for notification / reason for

end of benefit receipts / reason for discontinuation of SGB II / reason for deregistration and

employment status characteristics in the various sources. The list makes no claims of being

complete.

Table 6: Biographical gaps and identification possibilities

Biographical gap Information on gap, identifiable using the details in the "grund" variable in the preceding observa-tion of the source, if necessary

Civil servants, professional soldiers, judges, em-ployees of bodies or foundations under public law

XASU

Self-employed persons without support LeH, ASU Students, persons in school-based further educa-tion

LeH, LHG, ASU, XASU

Persons who are ill / not able to work for more than 6 weeks (illness during unemployment, however, is represented in the ASU source under certain cir-cumstances, see Section 3.1.4)

BeH, LeH, ASU

Persons receiving old-age pension without employ-ment if not a member of a benefit community

LeH, LHG, ASU

Individuals on maternity leave / parental leave XASU Recipients of early retirement benefits LeH, ASU Trade professionals working from home


33

Biographical gap Information on gap, identifiable using the details in the "grund" variable in the preceding observa-tion of the source, if necessary

Employees working short-time ASU Persons in youth welfare facilities, in vocational training centres, approved workshops or similar fa-cilities for disabled persons

ASU

Participants in programmes to support participation in working life (people in rehabilitation)

ASU

(Sideline) farmers

Caregivers according to Section 19 SBG XI Conscripts BeH, LeH, LHG, ASU, XASU Persons in reserve duty training BeH, LeH, LHG, ASU, XASU Persons fulfilling community service BeH, LeH, LHG, ASU, XASU Persons fulfilling a voluntary social or ecological year instead of community service

Other people not registered with the statutory pen-sion insurance or the Federal Employment Agency (e.g. sabbatical, funding from personal assets or pensions, emigration, employment abroad, volun-tary work etc.)

BeH, LeH, ASU

Strikers in cases where the strike lasts more than a month

LeH

Social assistance recipients (prior to the introduc-tion of SGB II in 2005), recipients of welfare pay-ments (according to SGB II)

Recipients of compensation according to FELEG (Gesetz zur Förderung der Einstellung der land-wirtschaftlichen Erwerbstätigkeit, Act on Support in Case of Termination of Farming Activities)

In terms of table 5 it should be noted that generally not the complete employment biography

of an individual, like it exists in the IEB, is included in the individual data of the LIAB QM2 9314.

This is because the LIAB QM2 9314 only contains spells including the 30 June of the respective

year. Other spells of the employment history, which do not include this date are therefore not

part of the LIAB QM2 9314. Furthermore the LIAB QM2 9314 only includes information about

individuals over time if the employing establishment participates with a valid interview contin-

uous at the IAB Establishment Panel.


34

4.2 Employee History (BeH)

− Due to the introduction of the employment notification procedure in the federal

states of Eastern Germany, the notifications for Eastern Germany can only be as-

sumed to be sufficiently complete from 1993 onwards. For the same reason, a

great deal of spells in 1991 show missing values for several variables (such as

employment status).

− The increase in the number of BeH observations from 1999 onwards is due to the

introduction of the obligation to submit employment notifications for people in mar-

ginal part-time employment from 01 April 1999 onwards.

− Especially in 1999, observations with part-time employment increase significantly.

This is caused by the actually observed increase in part-time work as well as by

the fact that since 1999 employment notifications have been completed more

properly.

− Within the employment notification procedure, a certain time lag is unavoidable.

Although changes in employment relationships have to be reported immediately,

and existing employment relationships have to be confirmed annually by April of

the following year, some notifications actually arrive years later. The History File

of the IAB is not updated continuously, however, but at certain intervals. This is

done using files of employment notifications for one particular year which were

submitted 36, 18, 12 or 6 months after the end of the reporting year (e.g. the 18-

month file for 2007 can be created in July 2009 at the earliest). Notifications sub-

mitted more than three years late are not taken into account at the IAB, which

means that a 36-month file shows a 100 % degree of completeness by definition.

− In the version of the IEB on which the LIAB data are based the degree of com-

pleteness of the BeH observations last stood at 100 % in 2007. 18-month files

were used for 2008 and 2009, and the observations for 2010 come from a 6-month

file. It can therefore be assumed that the BeH observations for 2008, 2009 and in

particular for 2010 are slightly underreported. However, this should not reduce the

ability to analyse the data at individual level. The missing notifications occur more

frequently in a few establishments, however. This means that in individual cases

the establishment data, e.g. establishment size, are grossly incorrect and will

change considerably in subsequent versions.

− In 1984, a change was made in the employment notification procedure. From that

time onwards, one-off payments of gross earned income were reported as part of


35

the annual earnings subject to social security contributions, which leads to an in-

crease in the average daily wage. In particular, the proportion of wages and sala-

ries above the upper earnings limit has increased considerably from that year on-

wards (see Bender et al. 1996).

− For the years 1992 until 2000 noticeable drops and rises in the number of notifica-

tions were noticed. Drops can be observed especially for the following 10 districts:

Braunschweig (03101), Wolfsburg (03103), Emden (03402), Kassel (06633), Es-

sen (05113), Neuss (05162), Erftkreis (05362), Hersfeld-Rotenburg (06632), Mil-

tenberg (09676) and Kempten (Allgäu) (09763). This is due to notification problems

of single or several establishments in these regions.

− Considerable drops were also observed for the districts Salzgitter (03102) und

Hoyerswerda (14264).

− Concerning the notifications for full-time employment, especially the districts Main-

Taunus (06436) und Alzey-Worms (07331) are noteworthy. They feature above-

average rises. Also in this case, the reasons are notification problems at single or

several establishments in these regions.

− In the years 1996 to 1998, the values 841-844 (doctors and pharmacies) within the

"occupation – activity performed" variable are very rare compared to the neigh-

bouring years.

4.3 Benefit Recipient History (LeH)

− Caused by an internal change of systems, there is a break in the collection of periods

of exclusion of benefits and of benefit suspension in 2004 due to failure to comply

in 2004.

4.4 Unemployment Benefit II Recipient History (LHG)

− With regard to the completeness of case numbers or benefit histories from the LHG data

sources, there are substantial gaps in the years 2005 and 2006. We therefore strongly ad-

vise against analysing the data for this time period based merely on the LHG sources.

− Longitudinal analyses of individuals are affected by inaccuracies as it is not possible to

distinguish between changes in the benefit entitlement status and relocations into and out

of districts whose institutions had problems delivering data.

− Also from 2007 onwards, cases of underrecording occur at times. These generally last one

month and occur mainly in the authorised municipalities.


36

− Underrecording and overrecording occur in connection with changes in the type of institu-

tion responsible for implementing SGB II:

o In the context of the reform of the territories covered by the institutions, which came into

force on 1 January 2011, cases of underreporting occurred in the districts covered by

the employment agencies of Dessau-Roßlau, Halberstadt, Halle and Sangerhausen.

o Double notifications due to the territorial reforms in 2009/2011 and the changes in the

form of the institutions as of 1 January 2012 are already corrected as far as possible in

the IEB. Nonetheless double notifications may still occur.

− In the following job centres there are inaccuracies with regard to the allocation of benefit

cases:

o between Emden and Norden between September and December 2009

o between Döbeln and Mittelsachsen from October to December 2012

o between Tirschenreuth and Wunsiedel from November 2012 to March 2013

− Some individuals for whom a (X)LHG spell exists are excluded entirely or partly from benefit

receipt according to SGB II, for instance because they take part in a subsidised training

programme, receive an old-age pension, live in an in-patient facility or a residential institu-

tion or receive insurance payments aimed at avoiding need. This affects on average 3 to 5

percent of all cases. In XSozial this person group is sometimes underrecorded by some

institutions. Exclusion from benefits can not be identified in the LIAB.

4.5 Jobseeker History (ASU / XASU)

4.5.1 ASU − The registered periods of job search activity in the ASU source have been regarded

as complete from the year 1997 onwards. Therefore, the analysis potential of the

ASU spells before 1996 is limited.

− For the placement experts it is not possible to always immediately record the allo-

cation to the legal sphere, since frequently it is only known after some time which

institution is primarily responsible due to a possible entitlement to SGB II benefits.

Therefore, we recommend comparing the manifestation of the "type of institution"

characteristic from the ASU with the manifestation of the LHG and/or XLHG during

the same period of time. Due to the recording gaps in the LHG and XLHG between

2005 and 2006 this is not always possible.

− For some people for whom an opting municipality has been responsible since 2005,

"artificial" ASU datasets were created by the Federal Employment Agency in paral-

lel. These can be identified via estatvor (transfer to an authorised municipality).


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− From mid-2005 until mid-2006, the coArb IT procedure, from which the jobseeker

and applicant pool data originate, was superseded by the VerBIS procedure at the

Federal Employment Agency. In July 2005, coArb was first replaced by VerBIS in

the employment agency in Wiesbaden as a pilot project. From December 2005 on-

wards, it was then gradually replaced by VerBIS in several stages in all employment

agencies. The information for many of the variables recorded was gathered with

different levels of differentiation and different qualitative weighting in the two sys-

tems. It is therefore very difficult to integrate these variables into the IEB, which is

only possible using a special procedure (mapping). Unfortunately, a full conversion

of the affected variables from coArb to VerBIS cannot be achieved by means of

mapping, so for some variables there is an unusually large number of the values

“no details available”, “other” or “missing”. Moreover, striking differences may occur

in frequency counts, depending on whether the original source of the data was co-

Arb or VerBIS. Important limitations of the analysis potential are mentioned in the

corresponding description of variables.

4.5.2 XASU

− In contrast to the job search spells from the cooperation of employment agencies

and municipalities (ARGE) and the separated responsibilities, systematic cases of

underrecording have emerged for the 69 authorised municipalities since 01 January

2005. Thus, data from the XASU source should only be analysed from June 2006

onwards.

− A variety of variables sometimes have only a very low degree of completeness for

the XASU. Variables which are affected by this include “school-leaving qualifica-

tion”, “severe disability status”, “reason for notification” as well as “employment sta-

tus prior to job search”. Although the degree of completeness of these variables

improves over time, they are still partly unsatisfactory. The beruf “occupation – ac-

tivity performed” variable is not available in the XASU for almost the entire period

available.

− For a number of institutions (districts), the proportion of registered recipients of un-

employment benefit II who are also registered jobseekers is implausibly large at

times or continuously in the IEB. One possible reason for this could be an incorrect

determination of the status “not unemployed but seeking work” by these institutions.

− The institution-related and period-related plausibility of the XASU data should be

examined before use, taking the research question into account.


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4.6 Participants-in-Measures History File (MTH)

− The MTH is incomplete for measures with a start date before 01.01.2000.

− As of 01.01.2005 there is an inconsistency in the data as participants in measures were

allocated to different institutions with the introduction of Social Code Book II (see Sec-

tions 2.2 and 2.4).

− The MTH contains only notifications that are recorded in BA procedures. The use of these

procedures in cooperations of employment agencies and municipalities/separated respon-

sibilities/municipalities exercising their duties separately increases continuously between

2005 and 2007. The notifications for these institutions are complete from March 2007 on-

wards.

− Measures that are reported via the XSozial standard are not contained in the MTH or in the

LIAB.

− As a result of the reorganisation of the institutions responsible for implementing SGB-II, the

documentation of participation in measures in the MTH may end or begin again when there

is a change in the reporting procedure.6

− In the case of notifications regarding the bridging allowance (Überbrückungsgeld) the max-

imum permissible duration of six months is sometimes exceeded. In most cases this can

be explained by a default setting in the input mask of the data recording system.

− The MTH is supplemented by applicant characteristics (e.g. vocational training) from other

BA procedures. For these variables the administrative procedure was switched from coArb

to VerBIS in 2006. The same quality limitations as for the ASU apply here.

5 Description of variables

Frequency counts and overviews of the individual values and labels of the variables can be

found in separate files under http://fdz.iab.de.

5.1 Identifiers

5.1.1 Individual ID (persnr)

Variable label Individual ID Variable name persnr Category identifiers

6 Further information concerning the territory structure of the institutions responsible for implementing

Social Code Book II and relevant changes can be found at: http://statistik.arbeitsagentur.de/Navi-gation/Statistik/Grundlagen/Regionale-Gliederungen/Gebietsstruktur-Traeger-Grundsicherung-Nav.html

http://fdz.iab.de/

http://statistik.arbeitsagentur.de/Navigation/Statistik/Grundlagen/Regionale-Gliederungen/Gebietsstruktur-Traeger-Grundsicherung-Nav.html




39

Origin BeH, LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy none

Detailed description

The artificial individual ID indicates which observations belong to the same person. Artificial means that it is not possible to infer any of the person’s characteristics or any original identifiers from this individual ID. As there is no uniform individual identifier in the different data sources, the allocation of the information from different data sources (e.g. em-ployment and benefits) to individuals is not always unambiguous. In such cases, implausible employment histories may arise. The formation of the individual identifier which spans all data sources is based on a heuristic developed by the BA.

5.1.2 Establishment number (betnr)

Variable label Establishment ID Variable name betnr Category identifiers Origin BeH Data type numerical Hierarchy none


The artificial establishment number indicates which observations belong to the same establishment. It is based on the establishment number al-located by the BA, which was replaced by an artificial number. (Further information on the allocation of establishment numbers by the BA can be found in Bender et al. 1996: p. 15 et seq. and pp. 27-30.) The estab-lishment ID and year specification can be used to merge individual and establishment information. For the establishment number, the following should be observed in gen-eral:

a) If the company has one office only, or if the company has one office only in one municipality, this office is the establishment and receives an establishment number.

b) If the company has several branch offices in one municipality, these establishment premises / workplaces must be merged into a single establishment under one establishment number, if they are part of the same economic class. Vice versa, if they are not part of the same economic class, each branch office is an estab-lishment and receives an establishment number each.

c) If the company has several branch offices in several municipal-ities, each of these branch offices is an establishment and re-ceives an establishment number each.

In this context, the following definitions with regards to the allocation of establishment numbers as part of the notification procedure for social security must be observed:


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a) An establishment is a regionally and economically delimited unit in which employees work and to which, according to the above-mentioned principles, an establishment number is to be allocated.

b) A workplace is a unit in which employees work and to which, according to the above-mentioned principles, no establishment number is to be allocated.

c) A company as a term combines establishment premises and workplaces of the same employer.

d) An employer is any natural person or legal entity that employs at least one employee subject to social insurance contributions or in marginal part-time employment.

e) Establishment and establishment premises are synonyms; branch office is a synonym for subsidiary, district office, out-sourced office, workplace, etc. if it is no establishment.

Note on quality

The establishment ID is only missing in a very limited number of cases. These observations are notifications for the person group “205” (earn-ings notifications for casual workers). As establishment variables (place of work, economic activity, establishment size, etc.) are merged via the establishment number, they are missing in these observations.

5.1.3 Establishment-ID acc. to Survey (idnum)

Variable label Establishment-ID acc. to Survey Variable name idnum Category Identifiers Origin IAB Establishment Panel Data type Numeric Hierarchy None


The Establishment ID acc. to Survey is adopted from the IAB Establish-ment Panel. The variable is only filled in the Individual File, if the person is employed in an establishment, which is in the IAB-Establishment Panel on the reference date with a valid interview.

5.2 Generated technical variables

5.2.1 Source of spell (quelle)

Variable label Source of spell Variable name quelle Category generated technical variables Origin BeH, LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy none Detailed description The variable indicates the data source.

5.2.2 Year (jahr)

Variable label Year


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Variable name jahr Category generated technical variables Origin BeH Data type numerical Hierarchy none


This variable is only included in the Establishment File. It indicates the year of validity of the establishment data as of the reference date of 30 June. This variable can be used together with the establishment number to link the Individual File and the Establishment File.

5.2.3 Status of establishment number (betr_st)

Variable label Status of establishment number Variable name betr_st Category generated technical variables Origin BeH Data type numerical Hierarchy none


The variable indicates for the current episode in the individual data if there is information from the IAB Establishment Panel for this episode. 1 – Employment in establishment of Establishment Panel with interview in same year, establishment selected for LIAB model 2 – Employment in establishment of Establishment Panel without inter-view in same year, establishment selected for LIAB model Establishment chosen for LIAB-model 3 – Employment in establishment of Establishment Panel, establishment not selected for LIAB model 4 – Employment in establishment not of Establishment Panel The values 1-3 indicate employments in establishments, which have taken part in the IAB Establishment Panel at least once, whereas value 4 marks the employment in establishments, which have never taken part in the IAB Establishment Panel. 1 and 2 describe employments in establishments, which are in the IAB Establishment Panel, which has been chosen for the respective LIAB model. Number 3 defines employments in firms, which have not been chosen for the respective LIAB model. The difference between 1 and 2 depends on the fact, whether the epi-sode includes the 30 June of the respective year, for a firm that has been interviewed, or not. Value 3 does not appear by definition in a Cross-sectional Model of the LIAB, because all firms of the IAB Establishment Panel have been inter-viewed at least once and due to construction chosen for the LIAB Cross-sectional Model.


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5.3 Personal information

5.3.1 Gender (frau)

Variable label Gender Variable name frau Category personal variable Origin BeH, LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy none

Detailed description Gender dummy (0 - man, 1 - women). The gender information is con-stant within one individual account.

5.3.2 Year of birth (gebjahr)

Variable label Year of birth Variable name gebjahr Category personal variables Origin BeH, LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy none Detailed description The year of birth is constant within one individual account.

Note on quality

In the original data, it may happen that the year of birth changes be-tween the data sources. This is corrected during the data preparation process. The information from the social security number is given high-est priority here.

5.3.3 Nationality (nation)

Variable label Nationality Variable name nation Category personal variables Origin BeH, LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy none

Detailed description The variable contains the nation codes used by the Federal Statistical Office (Statistisches Bundesamt).

Notes Owing to its particular sensitivity with regard to data protection legisla-tion, this variable is only made available in non-aggregated form on ap-plication and only in well-founded cases.

5.3.4 Nationality, grouped (nation_gr)

Variable label Nationality, grouped Variable name nation_gr Category personal variables Origin BeH, LeH, LHG, XLHG, ASU, XASU


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Data type numerical Hierarchy none

Detailed description The variable contains a grouped version of the nation codes used by the Federal Statistical Office.

5.3.5 Marital status (famst)

Variable label Marital status Variable name famst Category personal variables Origin LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy none


This variable describes the marital status. The characteristic in the LeH source has only two manifestations (0 - not married, 1 - married), while in the ASU / XASU sources, a distinction is made between four mani-festations, and in the LHG / XLHG sources between seven manifesta-tions. The information from the sources was not compared. 1) ASU / XASU Marital status includes categories of living in a joint household with chil-dren or a partner. However, it is not possible to distinguish clearly whether

• a married person / person living in a joint household is bringing up children,

• a married person / person living in a joint household / single per-son has any children at all,

• a lone parent / person living in a joint household / single person is married

2) XLHG The quality of the variable is reduced due to a break in the notification logic in 2007.

5.3.6 Number of children (kind)

Variable label Number of children Variable name kind Category personal variables Origin LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy none


This variable has a different meaning depending on the data source. Except for the LeH source, it indicates the number of children aged un-der 15 living in the household / in the benefit community (Bedarfsge-meinschaft) at the time when the application was made.


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1) LeH The LeH only distinguishes between whether the number of children is zero or at least one. The following values are therefore available: 0 no children 100 One or more children The variable is not updated when there are changes in the type of ben-efit or the approval of benefits, but only when a new case of benefit receipt occurs after a period of employment. Children are generally included in the LeH up to their 18th year of age, under certain conditions also beyond that date if these conditions con-stitute a higher benefit rate for the beneficiary. 2) ASU Here, the value of the variable corresponds to the number of children. Until 30 June 2006, only up to nine children could be recorded. The value 0 does not exist. For datasets prior to 30 June 2006, the zero value was recoded to "missing", since it is not clear whether zero should be interpreted as "no children" or as "field not filled in". For datasets after 30 June 2006, the characteristic is only filled in if children exist. 3) LHG, XLHG, XASU The variable shows the number of children in the benefit community (Bedarfsgemeinschaft). In the LHG and XLHG sources, the value is valid for the entire original period.

5.3.7 Vocational training (ausbildung)

Variable label Vocational training Variable name ausbildung Category personal variables Origin BeH, ASU, XASU, MTH Data type numerical Hierarchy none


It must be taken into account that this variable has a different meaning depending on the data source: 1) BeH For BeH observations the variable contains the vocational education and training reported by the employers in the employment notification procedure. The following values exist: 1 No vocational training 2 In-company voc. training/traineeship/external voc. training 11 Degree from a university of applied sciences 12 University degree


45

In notifications using the new occupation code (see Section 1.3.3) it is no longer possible to identify graduates of universities of applied sci-ences clearly, as the new occupation code no longer has a separate category for this vocational qualification. They are assigned to category 12. “Changes in the vocational training status frequently occur at the same time as a change of establishment. This is because the notification data are compiled anew in the new firm. If, for example, an employee has gained a higher qualification via a part-time further training course while still working then this change of status is probably not recorded until he/she joins a new firm. It can generally be assumed that when a person is employed in a firm for a longer period, the personal data that they reported when they joined the firm is simply continued.” (Meinken / Koch 2004, p. 63). A method for correcting missing values or temporal inconsistencies in the education and training data in the predecessor sample, the IABS, can be found in Fitzenberger et al. (2006) and in Drews (2006). Only the BeH data source is used for this, however, as this was the only data source with information on education and training in the IABS. 2) ASU, XASU, MTH For these observations the vocational education or training completed most recently is reported. The following values exist: 1 no completed vocational training 2 in-firm vocational training/external vocational training 3 full-time vocational school (Berufsfachschule) 4 technical college (Fachschule) 5 university of applied sciences (Fachhochschule) 6 university 7 vocational education/training not recognised in Germany 8 university degree not recognised in Germany Values 7 and 8 are only valid for the MTH data source.

Notes on quality The number of missing values increases continuously over time. In the most recent data more than 40% of values are missing. Missing values occur especially frequently in the following person groups: persons in marginal part-time employment, persons working part-time, foreign em-ployees and eastern German workers. The reason for this is that the variable is not of particular importance as regards social security (see Meinken/Koch, 2004, p. 63).


46

As a result of the switchover from coArb to VerBIS it is not possible to distinguish correctly between “no completed vocational training” and “no information available” in the ASU and MTH data sources between 2006 and 2008. A missing value in this period therefore does not necessarily mean that the person has no vocational training or that there is no infor-mation available on vocational education and training, but may also mean that it was not possible to apply the relevant data generation pro-cedure. The degree of completeness in the XASU data source is gener-ally low.

5.3.8 School leaving qualification (schule)

Variable label School leaving qualification Variable name schule Category personal variables Origin BeH, ASU, XASU, MTH Data type numerical Hierarchy none


This variable contains the school leaving qualification. Different values are possible depending on the source. 1) BeH The possible values change when the new occupation code is adopted (see Section 1.3.3). The values with the old occupation code are: 5 Grade-/lower secondary school with or without leaving certificate, intermediate school leaving certificate or equivalent qualification 8 Upper secondary school leaving certificate from a specialised upper secondary school (Fachoberschule), general upper secondary school leaving certificate, A-level equivalent, qualification for university 9 General upper secondary school leaving certificate, A-level equiva-lent, qualification for university With the new occupation code the values are: 1 No school leaving certificate 4 Lower secondary school certificate/ grade school certificate 6 Intermediate school leaving certificate 8 Upper secondary school leaving certificate from a specialised upper secondary school/general upper secondary school leaving certificate, A-level equivalent, qualification for university 2) ASU, XASU, MTH The following values are possible for these data sources: 1 No school leaving certificate 4 Lower secondary school certificate/ grade school certificate 6 Intermediate school leaving certificate


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7 Upper secondary school leaving certificate from a specialised upper secondary school (Fachoberschule) 9 General upper secondary school leaving certificate, A-level equiva-lent, qualification for university They are valid at the beginning of the period of job-search or participa-tion in a measure. In the case of people seeking an apprenticeship po-sition, the variable may also contain the school qualification they are working towards in the XASU data source.

Note on quality

The degree of completeness has been decreasing continuously over time in the BeH and has stood at under 2/3 in recent years. In the XASU it has been increasing continuously and has stood at over 2/3 since 2012. In ASU and MTH the degree of completeness is good on the whole.

5.4 Information on employment, benefit receipt and job search

5.4.1 Daily wage / daily benefit (tentgelt)

Variable label Daily wage/daily benefit Variable name tentgelt Category information on employment, benefit receipt and job search Origin BeH, LeH Data type numerical Hierarchy none


1) BeH In BeH observations, this variable shows the employee's gross daily wage. It is calculated from the fixed-period wages reported by the em-ployer and the duration of the (unsplit) original notification period in cal-endar days. The daily wage is shown in euros. Until 1998, employers in principle only reported the earnings which were subject to social security contributions. Earnings below the marginal part-time income threshold were not reported. Earnings exceeding the upper earnings limit for statutory pension insurance are only reported up to this limit. There are two upper earnings limits in the statutory pen-sion insurance scheme. The earnings limit of the miners‘ pension insur-ance is generally higher than the earnings limit of the pension insurance for wage and salary earners. However, in the data a differentiation be-tween these two insurance carriers is not possible. Since the inclusion of marginal part-time employees in the employment notification procedure on 01 April 1999, earnings below the marginal part-time income threshold have also been recorded; the upper earn-ings limit still applies as the upper ceiling. In some cases, however, the reported earnings nonetheless exceed the upper earnings limit. Gener-ally, this can probably be attributed to the payment of annual bonuses which the employer can add to the regular earnings in the annual, em-ployment interruption or end of employment notifications. In this case, it is irrelevant whether the upper earnings limit in the statutory pension insurance which is decisive for the notification period is exceeded as a result of this addition. However, such earnings notifications could also


48

be due to incorrect details in the employment period. (The earnings in-formation, however, may be considered less error-prone due to their in-surance relevance.) The marginal part-time income threshold and the upper earnings limit for statutory pension insurance differ from year to year as well as between Eastern and Western Germany (the decisive factor is the location of the establishment). An overview of these limits and thresholds can be found under http://fdz.iab.de. A daily wage reported as 0 euros can be put down to “employment in-terruption notifications”. During these periods, the employment relation-ship continues to exist in legal terms, but without pay. This is the case for periods of illness after the end of continued payment of wages, for periods of maternity leave and for sabbaticals. The daily wage is shown with two decimal places. All values greater than 0 and smaller than 0.01 were rounded up to 0.01. This makes it possible to identify the above-mentioned employment interruption noti-fications with the condition daily wage = 0. 2) LeH For LeH observations, the variable shows the daily benefit rate, con-verted into euros in each case. It must be taken into account that for observations with an original start date prior to 01 January 1998 the daily benefit rate applies to working days, while for observations with an orig-inal start date from 01 January 1998 onwards it applies to calendar days. Since 01 January 2005, a daily benefit rate reported as 0 euros can be put down to benefit suspension periods or interruptions of benefit pay-ments. If a reason for end of benefit is reported for an observation with a daily benefit rate equal to 0, then it is a notification of interruption of benefit payments. In the case of observations that reflect a period of benefit suspension, the entitlement is the same as before the start of the benefit suspension period.

5.4.2 Occupation – current/most recent (KldB 1988) (beruf)

Variable label Occupation – current/most recent (KldB 1988) Variable name beruf Category employment / benefit receipt Origin BeH, ASU, XASU Data type numerical Hierarchy none

http://fdz.iab.de/de/FDZ_Individual_Data/IAB_Employment_Samples/IAB_Employment_Samples_Working_Tools.aspx


49


1) BeH The occupational title of the job performed by the employee during the notification period is a component of the 'employment details' submitted by the employer. For this, the employer encodes the employee’s job in accordance with the “Classification of Occupations. Systematic and Alphabetical Direc-tory of Job Titles” (published by the Federal Employment Agency, Nu-remberg, 1988), which contains approx. 25,000 job titles. The occupa-tional classification consists of a 3-digit code and comprises about 330 values. If more than one job title with different classification codes applies to one employee, the employer is required to select the job title that best de-fines the main activity performed (see BA 2005, p. V). 2) ASU / XASU For ASU observations, this variable contains the occupation of the last activity performed. For XASU observations, the variable contains the last successfully com-pleted vocational training.

5.4.3 Occupational group – current/most recent (KldB 2010), 3 digit (beruf2010_3)

Variable label Occupational group - current/most recent (KldB 2010), 3-digit Variable name beruf2010_3 Category information on employment, benefit receipt and job search Origin BeH, LeH, ASU, XASU, MTH Data type numerical Hierarchy none


1) BeH The occupational title of the job performed by the employee during the notification period is a component of the 'employment details' submitted by the employer. If more than one job title with different classification codes apply for one employee, the employer is required to select the job title that best defines the main activity performed (see Bundesagentur für Arbeit, 2005, p. V). For this the employer encodes the employee’s job in accordance with the “Classification of Occupations 2010” (Klassifikation der Berufe 2010, KldB2010, Bundesagentur für Arbeit, 2011). The occupational class consists of a 5-digit code and comprises about 1300 values. The less detailed occupational group is recorded by the first three digits of the code. The skill level required for a job, which is recorded in the fifth digit of the codes in the KldB2010, is made available separately in the varia-ble ‘level of requirement’ (niveau). Employment notifications with an end date earlier than 30.11.2011 are reported using the old occupation code 1988 (KldB 1988) (see Sec-tion 1.3.3). These values are recoded to the KldB2010 by transferring the key area. As the new occupation code is considerably more detailed than the old one, this results in substantial inaccuracies. This must be taken into account when analysing the data.


50

2) LeH, ASU, XASU, MTH The variable contains the occupation of the last job. See 1) with regard to the occupation code.

Note on quality There is a considerable increase in the number of missing values in 2011 due to the change in the reporting procedure.

5.4.4 Occupational sub-group – current/most recent (KldB 2010), 4-digit

(beruf2010_4)

Variable label Occupational sub-group - current/most recent (KldB 2010), 4-digit Variable name beruf2010_4 Category information on employment, benefit receipt and job search Origin BeH, LeH, ASU, XASU, MTH Data type numerical Hierarchy none


1) BeH The occupational title of the job performed by the employee during the notification period is a component of the 'employment details' submitted by the employer. If more than one job title with different classification codes apply for one employee, the employer is required to select the job title that best defines the main activity performed (see Bundesagentur für Arbeit, 2005, p. V). For this the employer encodes the employee’s job in accordance with the “Classification of Occupations 2010” (Klassifikation der Berufe 2010, KldB2010, Bundesagentur für Arbeit, 2011). The occupational class consists of a 5-digit code and comprises about 1300 values. The less detailed occupational sub-group is recorded by the first four digits of the code. The skill level required for a job, which is recorded in the fifth digit of the codes in the KldB2010, is made available separately in the varia-ble ‘level of requirement’ (niveau). Employment notifications with an end date earlier than 30.11.2011 are reported using the old occupation code 1988 (KldB 1988) (see Sec-tion 1.3.3). These values are recoded to the KldB2010 by transferring the key area. As the new occupation code is considerably more detailed than the old one, this results in substantial inaccuracies. This must be taken into account when analysing the data. 2) LeH, ASU, XASU, MTH The variable contains the occupation of the last job. See 1) with regard to the occupation code.



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Notes Owing to its particular sensitivity with regard to data protection legisla-tion, this variable is only made available in non-aggregated form on ap-plication and only in well-founded cases. Otherwise the occupational group (beruf2010_3) is the only occupation-related information using KldB2010 that is made available.

5.4.5 Level of requirement – current/most recent job (KldB 2010) (niveau)

Variable label Level of requirement - current/most recent job (KldB 2010) Variable name niveau Category information on employment, benefit receipt and job search Origin BeH, LeH, ASU, XASU, MTH Data type numerical Hierarchy none


1) BeH The occupational title of the job performed by the employee during the notification period is a component of the 'employment details' submitted by the employer. If more than one job title with different classification codes apply for one employee, the employer is required to select the job title that best defines the main activity performed (see Bundesagentur für Arbeit, 2005, p. V). For this the employer encodes the employee’s job in accordance with the “Classification of Occupations 2010” (Klassifikation der Berufe 2010, KldB2010, Bundesagentur für Arbeit, 2011). The occupational class consists of a 5-digit code and comprises about 1300 values. The less detailed occupational sub-group is recorded by the first four digits of the code. The skill level required for a job, which is recorded in the fifth digit of the codes in the KldB2010, is made available separately in the varia-ble ‘level of requirement’ (niveau). Employment notifications with an end date earlier than 30.11.2011 are reported using the old occupation code 1988 (KldB 1988) (see Sec-tion 1.3.3). These values are recoded to the KldB2010 by transferring the key area. As the new occupation code is considerably more detailed than the old one, this results in substantial inaccuracies. This must be taken into account when analysing the data. 2) LeH, ASU, XASU, MTH The variable contains the occupation of the last job. See 1) with regard to the occupation code.


5.4.6 Part-time (teilzeit)

Variable label Part-time Variable name teilzeit Category information on employment, benefit receipt and job search


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Origin BeH Data type numerical Hierarchy none


The employee’s occupational status during the notification period is re-ported by the employer in the “employment details”. The variable “occupational status” distinguishes between full-time and part-time employees. The decisive factor here is the ratio between the contracted hours and the usual working hours in the establishment. For part-time employees the variable only records whether their working hours exceed a certain limit or not. Until 1978 this limit was 20 hours of work per week, between 1979 and 1987 it was 15 hours per week and since 1988 it has been 18 hours per week. The variable only provides actual details regarding the occupational sta-tus for full-time employees, distinguishing among other things between blue-collar and white-collar employees in full-time employment and trainees/apprentices. When the new occupation code was introduced (see Section 1.3.3), however, this distinction was no longer available. The variable ‘teilzeit’ therefore only distinguishes between full-time and part-time employment in the entire reporting period. No further infor-mation about the occupational status is used.

Note on quality

There is a considerable increase in the number of missing values in 2011 due to the change in the reporting procedure. In order to reduce this problem, the working hours were imputed at the IAB for the period in question. Further information about the procedure can be found in Ludsteck/Thomsen (2016).

5.4.7 Employment status (erwstat)

Variable label Employment status Variable name erwstat Category personal variables Origin BeH, LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy none


This variable assumes different values with different meanings for each data source. 1) BeH For BeH observations, the variable ‘employment status’ corresponds to the person group recorded in the new notification procedure (DEÜV) from 1 January 1999 onwards. It indicates contribution- or benefit-re-lated particularities of the employment relationship. If multiple codes apply to an employment notification, the smallest must be indicated by the reporting employer. The majority of these cases are employment relationships subject to social security contributions without any distinctive characteristics, which are recorded under code number 101. Accordingly, it is possible that these employment relationships are slightly overestimated.


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The notification procedure stipulates that changes in the employment status - e.g. when an apprentice is taken on by his/her training company after completing his/her vocational training - must be indicated by a new notification (cf. Deutsche BKK 2012, p. 31). The person group can be contained in employment notifications that re-fer to the years prior to 1999 but were not received until 1999 or later. For notifications which were received before 1999, an attempt is made to allocate the notifications to the person groups on the basis of certain rules and with the aid of the vocational education and training', 'occupa-tional status and working hours' and 'occupation' variables as well as other information. In many cases, however, conclusive allocations are not possible. Since 1 April 1999, employees in marginal part-time employment have also been recorded in the DEÜV notification procedure. This per-songroup can be distinguished via the values 109 and 209. For employ-ees in marginal part-time employment, no data prior to the introduction of the notification obligation in 1999 could be collected. 2) LeH For LeH observations, the variable ‘employment status’ contains the grouped benefit type. Thus, it is possible to distinguish whether a person receives unemployment benefit, unemployment assistance or mainte-nance allowance or whether contributions to private long-term care in-surance are paid by the BA. 3) ASU/XASU For ASU observations, the ‘employment status’ variable reports the job search status. Recipients of unemployment benefits (Unemployment Benefit I or II) over the age of 58 who receive benefits under the relaxed conditions according to Section 428 of Social Code Book III (or Section 65 Para. 4 of Social Code Book II) and individuals aged over 58 who are not benefit recipients and are not willing to be placed in employment in the sense of Section 252 Para. 8 Social Code Book VI are recorded as individuals seeking advice. The status ‘without status’ (statistics: ‘not set’) mainly implies individuals who cannot be expected to be activated or placed in employment in ac-cordance with Section 10 SGB II. Individuals who are classed as unfit for work for more than 42 days but continue to receive Unemployment Benefit II are also recorded under this status in the system. In XASU observations, the variable ‘employment status’ has so far also contained the values ‘not unemployed, but seeking work’ as well as ‘un-employed and simultaneously seeking work’. 4) LHG For LHG datasets, the ‘employment status’ variable shows whether the person is registered as an employable minor, an employable person of full age or not employable from the old-age pension threshold. 5) MTH


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For MTH observations the ‘employment status’ variable indicates the measure-type category. This is the highest level in the hierarchy of the measure-type classifications of the BA.

Note on quality

In the LHG it can be observed that there is an above-average number of 15-year-olds and to a lesser extent 16- and 17-year-olds classed as unable to work. 15- and 16-year-old benefit recipients of the authorised municipalities may therefore be under-represented, as ‘individuals who are unable to work’ are not included in the IEB.

5.4.8 Transition zone (gleitz)

Variable label Transition zone Variable name gleitz Category information on employment, benefit receipt and job search Origin BeH Data type numerical Hierarchy none


This variable has only been available from 2003 onwards and only for BeH observations. It indicates whether the employment notification re-lates to employment in the low-wage sector, within the so-called transi-tion zone. Jobs in the transition zone have a gross monthly wage of € 400.01 to € 800.00 (so-called midi jobs) for which the employee only has to pay a reduced overall social security contribution. As employees with earnings in the transition zone can voluntarily pay the “regular” social security contribution, not all employees with corresponding earnings are automatically classified as being in the transition zone. The correspond-ing legislation has been in force since 01 April 2003.

5.4.9 Temporary agency work (leih)

Variable label Temporary agency work Variable name leih Category information on employment, benefit receipt and job search Origin BeH Data type numerical Hierarchy none


The variable reports whether the person’s employment is a temporary job via an employment agency. The variable is derived from the occu-pation code 2010 and is only available for notifications with an end date later than 30.11.2011.


5.4.10 Fixed-term job (befrist)

Variable label Fixed-term job Variable name befrist Category information on employment, benefit receipt and job search Origin BeH


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Data type numerical Hierarchy none


The variable reports whether the person’s employment relationship is fixed-term or permanent. The variable is derived from the occupation code 2010 and is only available for notifications with an end date later than 30.11.2011.


5.4.11 Reason of cancellation/notification/termination (grund)

Variable label Reason of cancellation/notification/termination Variable name grund Category information on employment, benefit receipt and job search Origin BeH, LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy none


1) BeH In BeH observations, the 'reason o notification' variable indicates the reason why the employer submitted the employment notification in question to the social security agencies. However, not all of the possible reasons for submitting a notification that may occur in the context of the notification procedure are available in the IEB. For instance, the IEB only includes notifications that have information on earnings (i.e. annual, em-ployment interruption and end of employment notifications), whilst initial registrations are not contained as they contain no information on earn-ings. However, this does not involve a loss of information, as the details from a registration are transmitted again with the following annual, em-ployment interruption or end of employment notification. The reasons for submitting employment notifications are encoded ac-cording to the regulations of the notification procedure which has been in effect since 01 January 1999 (in accordance with DEÜV). 2) LeH In LeH observations, the variable indicates the reason for the end of receipt of unemployment benefit, unemployment assistance or mainte-nance allowance. In contrast, the LeH contains no information about the reasons for the start of benefit receipt, as the information for the LeH comes from the notifications submitted by the employment agencies to the health insurance institutions regarding finished periods of benefit re-ceipt. 3) LHG / XLHG


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The LHG and XLHG datasets contain the ‘reason for discontinuation of Unemployment Benefit II’ and indicate the reason why current benefits have been discontinued. The ‘reason for discontinuation of Unemploy-ment Benefit II’ variable refers to the individual, not to the benefit com-munity. If the Unemployment Benefit II receipt of a different member of the benefit community is discontinued, all observations of the members of the benefit community are split on this date, but the reason for dis-continuation of Unemployment Benefit II is only available for the individ-ual whose benefit is discontinued. If the Unemployment Benefit II receipt of one member of the benefit community is discontinued, new observations for all members of the benefit community are started at this date, while the reason for end / discontinuation of benefit is only available for the person concerned. This variable is valid exactly at the end of the original observation. 4) ASU / XASU In the case of ASU records, the variable contains the deregistration or exit reason. It must be taken into account here that the number of values of the variable has been reduced from 26 April 2003 onwards. For anal-ysis over long periods of time, the old values can be recoded to the cur-rently valid ones using the table below:

old -> new old -> new old -> new old -> new

29 -> 60 36 -> 61 44 -> 74 51 -> 74

30 -> 60 37 -> 66 45 -> 77 52 -> 76

31 -> 61 38 -> 66 46 -> 67 53 -> 68

32 -> 60 39 -> 71 47 -> 67 54 -> 78

33 -> 60 40 -> 69 48 -> 78

34 -> 60 42 -> 65 49 -> 69

35 -> 60 43 -> 70 50 -> 75

Note on quality

Proportion of valid values (degree of completeness) for the reason for notification in the LHG, XLHG, ASU and XASU data sources: Source | 2005 2006 2007 2008 2009 2010 ----------+----------------------------------------- LHG | 0.157 0.150 0.182 0.179 0.160 0.154 XLHG | 0.077 0.098 0.119 0.126 0.193 0.271 ASU | 0.703 0.968 0.948 0.932 0.924 0.931 XASU | 0.254 0.361 0.363 0.367 0.383 0.409

5.4.12 Client profile (profil)

Variable label Client profile Variable name profil


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Category information on employment, benefit receipt and job search Origin ASU, MTH Data type numerical Hierarchy none


The variable reports the client profile assigned to the client in the profil-ing process. The profiling process serves to create a client profile, i.e. a list of the client’s skills, experiences and interests with labour-market relevance, in order to identify the client’s position in the labour market more easily. Towards the end of the profiling process, the items are summarised to create a client profile. To this end, the client’s overall integration prospects are first ascertained. The following options are available: • good integration prospects (integration into the regular labour mar-

ket within 12 months is realistic) • complex (integration into the regular labour market within 12 months

is not realistic) • other The allocation of the client profile depends on the identification of the integration prospects. Clients whose integration prospects are classed as good can be assigned the client profiles ‘market profile’, ‘activation profile’ and ‘assistance profile’, while clients with complex prospects are assigned the client profiles ‘development profile’, ‘stabilisation profile’ or ‘support profile’. The selection of the specific client profile is based on the need for action as assessed by the placement officer. If the client’s prospects are classed as ‘other’, the option ‘assignment not required’ or – only for SGB II clients – ‘integrated but in receipt of benefits’ may be selected as the client profile.

Note on quality The variable was introduced in 2009 but was mapped back to 2006 us-ing other variables. The quality has been assessed as reliable by the BA statistics department since 2010.

5.4.13 Reason for end of previous employment (art_kuend)

Variable label Reason for end of previous employment Variable name art_kuend Category information on employment, benefit receipt and job search Origin ASU Data type numerical Hierarchy none

Detailed description This variable describes how the last employment or training relationship was terminated before a new period of job search. It can therefore be used to identify job-to-job placements.

5.4.14 Working hours of job application (arbzeit)

Variable label Working hours of job application Variable name arbzeit Category information on employment, benefit receipt and job search


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Origin ASU Data type numerical Hierarchy none

Detailed description During the placement procedure, jobseekers indicate how many working hours the job they are seeking should have.

5.4.15 Residual claim/ planned duration (restanspruch)

Variable label Residual claim/planned duration Variable name restanspruch Category information on employment, benefit receipt and job search Origin LeH Data type numerical Hierarchy none


Remaining entitlement is the entitlement that remains after the end of the current period of benefit receipt. The remaining entitlement used to remain in place for seven years, since February 2006, this has been four years. If the end date of the benefit receipt is before 01 January 1998, the remaining entitlement is reported in working days, after this date it is reported in calendar days. This entitlement counts up to a maximum of the longest possible duration for the individual's respective age. This information does not refer to the start date of the episode, but to the start of the original time period.

5.4.16 Type of provider (traeger)

Variable label Type of provider Variable name traeger Category information on employment, benefit receipt and job search Origin LHG, XLHG, ASU, XASU Data type numerical Hierarchy none


Until 2011, this variable shows the three possible types of institution re-sponsible for the sphere of Social Code Book II (cooperation of employ-ment agencies and municipalities (ARGE), authorised municipalities (zkT), separated responsibilities (gT)) and the type of institution for the sphere of Social Code Book III (Federal Employment Agency). From 2011 onwards, ARGEs have generally been organised as joint facilities (gE). By 01 January 2012 at the latest, separated responsibilities formed joint facilities or authorised municipalities. The characteristics manifes-tation 2 indicates the cooperation of employment agencies and munici-palities (ARGE) type of institution until 2010, since 2011 it has been joint facilities (gE).


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The cooperation of employment agencies and municipalities (ARGE) is formed by the Federal Employment Agency and municipalities dealing with tasks jointly. In the case of authorised municipalities (zkT) (at first also called "opting local authorities" according to the experimental clause of Section 6a), the relevant municipality takes on the tasks in the field of SGB II independently. In the case of separated responsibilities (gAw), also called municipalities exercising their duties separately (gAw), the federal and/or municipal SGB II benefits are granted on their own responsibility. It must be taken into account that the district territories covered by the institutions are not always clear and thus may not necessarily corre-spond to the boundaries of the districts. The same applies to the em-ployment agencies. ASU and XASU observations contain the type of institution that holds the records of the Applicant Pool Data.

5.5 Location data

5.5.1 Place of residence: district (Kreis) (wo_kreis)

Variable label Place of residence: district (Kreis) Variable name wo_kreis Category location data Origin BeH, LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy federal state | district


In BeH and LeH observations, the place of residence at district level is only available for the years from 1999 onwards. The variable indicates the district (urban district or rural district) in which the social security contributor lives. The first two digits of the 5-digit district code (Kreiss-chlüssel) show the code for the federal state (Bundesland), positions 1-3 indicate the regional authority (Regierungsbezirk), and positions 1-5 show the district authority (Kreis). Federal states without a regional au-thority have a 0 in the third position. In the BeH, the place of residence is determined at the end of each year and added consistently to all datasets of a year. For the LHG, XLHG and XASU sources, the place of residence applies to the period of the origi-nal observation. For the ASU and LeH, the characteristic contains the place of residence at the beginning of the original period of time. In order to guarantee consistent regional allocations across the entire observation period, the information on the district was recoded with ref-erence to the territorial allocation of 31 December 2010 for all sources, i.e. in all calendar years, a place of residence is assigned to a district in accordance with the boundaries that the district had on 31 December 2010. As the district boundaries have changed over time, cases would occur in which the district code changes without the individual con-cerned having relocated if the territorial allocations of the districts were not updated.


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For observations with an original start date after 2010, the location data was set to “missing”, because changes in the territorial allocation imple-mented from 2011 onwards cannot be recoded precisely to the alloca-tion of 31 December 2010. For LHG, XLHG and XASU observations, the variable is available from 2005 onwards.

Notes

Owing to its particular sensitivity with regard to data protection legisla-tion, this variable is only made available in non-aggregated form on ap-plication and only in well-founded cases. Otherwise, only the federal state (wo_bula) is shown as regional information.

5.5.2 Place of residence: federal state (Bundesland) (wo_bula)

Variable label Place of residence: federal state (Bundesland) Variable name wo_bula Category location data Origin BeH, LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy federal state | district


This variable is an aggregation of the “district” variable to the 16 German federal states. In BeH observations, the federal state of the place of residence is only available for the years from 1999 onwards. Further information on the district of the place of residence can be found under 5.5.1Place of resi-dence: district (Kreis) (wo_kreis).

5.5.3 Place of residence: employment agency (wo_aa)

Variable label Place of residence: employment agency (Arbeitsagentur) Variable name wo_aa Category location data Origin BeH, LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy regional directorate | employment agency


This variable contains the employment agency of the employee’s / BA client’s place of residence. This information is extracted from the resi-dence address. For the LHG, XLHG and XASU data sources, the place of residence is valid for the period of the original observation. In the case of the LeH and ASU, the variable contains the place of residence at the start of the period of unemployment or the job search. For the BeH and LeH, it is available from 1999 onwards, for the LHG, XLHG and XASU from 2005 onwards, and for ASU observations, the variable is already available before 1999.


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In order to guarantee consistent regional allocations across the entire observation period, the information on the employment agency was re-coded to the territorial allocation of 31 December 2010 for all data sources observations, i.e. in all calendar years, a place of residence is assigned to an employment agency area in accordance with the bound-aries that the employment agency area had on 31 December 2010. As the boundaries of the employment agency areas have changed over time, cases would occur in which a person’s employment agency area changes without him/her having relocated if the territorial allocations were not updated. Berlin constitutes a problematic case with regard to updating territorial allocations, however: The boundaries of Berlin’s em-ployment agency areas have been changed repeatedly over the years, which could not be fully corrected even by recoding the territorial alloca-tions. For observations with an original start date after 2010, the location data was set to “missing”, because changes in the territorial allocation implemented from 2011 onwards cannot be recoded precisely to the al-location of 31 December 2010.

Notes

Owing to its particular sensitivity with regard to data protection legisla-tion, this variable is only made available in non-aggregated form on ap-plication and only in well-founded cases. Otherwise, only the area of the regional directorate in which the social security contributor’s place of residence is located is shown.

5.5.4 Place of residence: regional directorate (wo_rd)

Variable label Place of residence: regional directorate (Regionaldirektion) Variable name wo_rd Category location data Origin BeH, LeH, LHG, XLHG, ASU, XASU Data type numerical Hierarchy regional directorate | employment agency


This variable contains the regional directorate of the place of residence. For the LHG, XLHG and XASU data sources, the place of residence is valid for the period of the observation. A change of place of residence (already at the level of local employment office (Geschäftsstelle) or local authority district (Gemeinde)) causes a new observation. In the case of the LeH and ASU, the variable contains the place of residence at the start of the period of unemployment or the jobseeker status. The variable is available for the BeH and the LeH from 1999 onwards, and for the LHG, XLHG and XASU from 2005 onwards. For ASU observations, the variable is already available before 1999. For all data sources, the territorial allocations were corrected to the sta-tus of 31 December 2010. For observations with an original start date after 2010, the location data was set to “missing”, because changes in the territorial allocation implemented from 2011 onwards cannot be re-coded precisely to the allocation of 31 December 2010.


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5.6 Establishment variables

5.6.1 Classification of economic activities 73 (w73_3)

Variable label classification of economic activities 73 Variable name w73_3 Category establishment variables Origin BeH Data type numerical

Hierarchy division (1-digit code) | group (2-digit code) | class (3-digit code) of eco-nomic activity


This variable indicates the economic activity as a 3-digit code in accord-ance with the WS73 classification and is available from 1975 up to and including 2002. WS73 stands for the “Classification of Economic Activities for the Statis-tics of the Federal Employment Services, edition 1973” (“Klassifikation der Wirtschaftszweige für die Statistik der Bundesanstalt für Arbeit, Aus-gabe 1973”). Using a 3-digit code, the classification distinguishes be-tween 269 classes of economic activity, whereby the first digit of the code defines the division of economic activity of a total of 10, and the first two digits together define the particular group of economic activity of a total of 95. Each establishment is only assigned one code. The assignment to the relevant class of economic activity is carried out under consideration of the institutional orientation of the establishment.

5.6.2 Classification of economic activities 93, sub-classes (w93_5)

Variable label classification of economic activities 93, sub-classes Variable name w93_5 Category establishment variables Origin BeH Data type numerical

Hierarchy section (1-digit code) | division (2-digit code) | group (3-digit code) | class (4-digit code) | sub-class (5 digit code) of economic activity


This variable indicates the economic activity as a 5-digit code in accord-ance with the WZ93 classification and is available from 1998 up to and including 2003. WZ93 stands for the “Classification of Economic Activi-ties for the Statistics of the Federal Employment Services, edition 1993” (“Klassifikation der Wirtschaftszweige für die Statistik der Bundesanstalt für Arbeit, Ausgabe 1993”). The WZ93 is based on the Statistical Clas-sification of Economic Activities in the European Community NACE Rev. 1 („Nomenclature génerale des activités économiques dans les commu-nautés européennes“) which has four levels the first two of which are based on the international standard ISIC Rev. 3 („International Standard Industrial Classification of All Economic Activities“). Each establishment is only assigned one code. If an establishment is active in different economic sectors, the main economic activity should be reflected.


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Notes

Owing to its particular sensitivity with regard to data protection legisla-tion, this variable is only made available in non-aggregated form on ap-plication and only in well-founded cases. Otherwise, the economic ac-tivity is only shown as the 3-digit code (w93_3).

5.6.3 Classification of economic activities 93, groups (w93_3)

Variable label classification of economic activities 93, groups Variable name w93_3 Category establishment variables Origin BeH Data type numerical



This variable indicates the economic activity as a 3-digit code in accord-ance with the WZ93 classification and is available from 1998 up to and including 2003. WZ93 stands for the “Classification of Economic Activi-ties for the Statistics of the Federal Employment Services, edition 1993” (“Klassifikation der Wirtschaftszweige für die Statistik der Bundesanstalt für Arbeit, Ausgabe 1993”). The WZ93 is based on the Statistical Clas-sification of Economic Activities in the European Community NACE Rev. 1 („Nomenclature génerale des activités économiques dans les commu-nautés européennes“) which has four levels the first two of which are based on the international standard ISIC Rev. 3 („International Standard Industrial Classification of All Economic Activities“). Each establishment is only assigned one code. If an establishment is active in different economic sectors, the main economic activity should be reflected.



Hierarchy section (1-digit code) | division (2-digit code) | group (3-digit code) | class (4-digit code) | sub-class (5-digit code) of economic activity


This variable indicates the economic activity as a 5-digit code in accord-ance with the WZ03 classification and is available from 2003 up to 2008. WZ03 stands for the “Classification of Economic Activities, Edition 2003” (“Klassifikation der Wirtschaftszweige Ausgabe 2003”) of the Federal Statistical Office (eds.). Like the WZ93, the WZ03 is based on the Sta-tistical Classification of Economic Activities in the European Community NACE Rev. 1 (see description of variables w93_3, w93_5). The classi-fication of the economic activity has been updated, whereas the struc-ture of the WZ93 has been largely maintained. Each establishment is only assigned one code. If an establishment is active in different economic sectors, the main economic activity should be reflected.


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Notes

Owing to its particular sensitivity with regard to data protection legisla-tion, this variable is only made available in non-aggregated form on ap-plication and only in well-founded cases. Otherwise, the economic ac-tivity is only shown as the 3-digit code (w03_3).





This variable indicates the economic activity as a 3-digit code in accord-ance with the WZ03 classification and is available from 2003 up to 2008. WZ03 stands for the “Classification of Economic Activities, Edition 2003” (“Klassifikation der Wirtschaftszweige Ausgabe 2003”) of the Federal Statistical Office (eds.). Like the WZ93, the WZ03 is based on the Sta-tistical Classification of Economic Activities in the European Community NACE Rev. 1 (see description of variables w93_3, w93_5). The classi-fication of the economic activity has been updated, whereas the struc-ture of the WZ93 has been largely maintained. Each establishment is only assigned one code. If an establishment is active in different economic sectors, the main economic activity should be reflected.



Hierarchy section (1-digit code) | division (2-digit code) | group (3-digit code) | class (4-digit code) | sub-class (5-digit code) of economic activity


This variable indicates the economic activity as a 5-digit code in accord-ance with the WZ08 classification and is available from 2008 onwards. WZ08 stands for the “Classification of Economic Activities, Edition 2008” (“Klassifikation der Wirtschaftszweige Ausgabe 2008”) of the Federal Statistical Office (eds.). The WZ08 is based on the Statistical Classifica-tion of Economic Activities in the European Community NACE Rev. 2. Each establishment is only assigned one code. If an establishment is active in different economic sectors, the main economic activity should be reflected.

Notes

Owing to its particular sensitivity with regard to data protection legisla-tion, this variable is only made available in non-aggregated form on ap-plication and only in well-founded cases. Otherwise the economic activ-ity is only shown as the 3-digit code (w08_3).


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This variable indicates the economic activity as a 3-digit code in accord-ance with the WZ08 classification and is available for the years since 2008. WZ08 stands for the “Classification of Economic Activities, Edition 2008” (“Klassifikation der Wirtschaftszweige Ausgabe 2008”) of the Fed-eral Statistical Office (eds.). The WZ08 is based on the Statistical Clas-sification of Economic Activities in the European Community NACE Rev. 2. Each establishment is only assigned one code. If an establishment is active in different economic sectors, the main economic activity should be reflected.

5.6.8 w73_3 completed by extrapolation/imputation (w73_3_gen)

Variable label w73_3 completed by extrapolation/imputation Variable name w73_3_gen Category establishment variables Origin BeH Data type numerical

Hierarchy division (1-digit code) | group (2-digit code) | class (3-digit code)


This variable indicates the economic activity as a 3-digit code in accord-ance with the WZ73 classification. From 1975 up to and including 2002, the variable contains the original values from w73_3. From 2003 on-wards, the information is either continued or replaced with the help of recoding tables. Thus the variable provides time-consistent information on the economic activity based on the economic activity classification WS73. A detailed description can be found in Eberle et al. (2011). Further information on the WS73 classification can be found in the de-scription of variables w73_3.

5.6.9 Type of imputation w73_3 (group_w73_3)

Variable label Type of imputation w73_3 Variable name group_w73_3 Category establishment variables Origin BeH Data type numerical Hierarchy None


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This variable indicates the type of completion for the w73_3_gen varia-ble. It is denoted whether the relevant value in w73_3_gen is consistent with the original value from w73_3, still missing / extrapolated or imputed based on recording tables. A detailed description of the procedure can be found in Eberle et al. (2011).

5.6.10 w93_3 completed by extrapolation/imputation (w93_3_gen)

Variable label w93_3 completed by extrapolation/imputation Variable name W93_3_gen Category establishment variables Origin BeH Data type numerical



This variable indicates the economic activity as a 3-digit code in accord-ance with the WZ93 classification. From 1998 up to and including 2003, the variable contains the original values from w93_3. Before 1998 and after 2003, the information is either written back / continued or replaced with the help of recoding tables, so that the variable contains time-con-sistent information on the economic activity based on the economic ac-tivity classification WS93. A detailed description can be found in Eberle et al. (2011). Further information on the WS93 classification can be found in the de-scription of variables w93_3.

5.6.11 Type of imputation w93_3 (group_w93_3)

Variable label Type of imputation w93_3 Variable name group_w93_3 Category establishment variables Origin BeH Data type numerical Hierarchy None


This variable indicates the type of completion for the w93_3_gen varia-ble. It is denoted whether the relevant value in w93_3_gen is consistent with the original value from w93_3, still missing / extrapolated or imputed based on recording tables. A detailed description of the procedure can be found in Eberle et al. (2011).

5.6.12 Year of first appearance (grd_jahr)

Variable label year of first appearance Variable name grd_jahr Category establishment variables Origin BeH Data type numerical


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Hierarchy none


This variable indicates the first appearance of the establishment number in the dataset. If an establishment number is only determined for the first time after 1975 (or after 1992 in Eastern Germany), this variable could indicate the date when the respective establishment was founded. However, it could also be an establishment that has been in existence for a longer time but has been allocated a new establishment number following a change of owner or a change in the legal form of the establishment. (For the allo-cation of establishment numbers see Bundesagentur für Arbeit 2007, p. 9-11). It might also be that the establishment already existed before, but did not have any employees liable to social security, or from 1999 on-wards, neither marginal part-time workers.

5.6.13 First appearance (grd_dat)

Variable label first appearance Variable name grd_dat Category establishment variables Origin BeH Data type date Hierarchy none


This variable indicates the first appearance of the establishment number in the BeH to the day. If an establishment number in Western Germany is determined for the first time only after 1975, or after 1992 in Eastern Germany, this variable could indicate the date when the respective es-tablishment was founded. However, it could also be an establishment that has been in existence for a longer time but has been allocated a new establishment number following a change of ownership or a change in the legal form of the establishment. (For the allocation of establish-ment numbers see Bundesagentur für Arbeit 2007, p. 9-11). It might also be that the establishment already existed before, but did not have any employees liable to social security, or from 1999 onwards, neither mar-ginal part-time workers.

Notes

Owing to its particular sensitivity with regard to data protection legisla-tion, this variable is only made available in non-aggregated form on ap-plication and only in well-founded cases. Otherwise, the economic ac-tivity is only shown as the 3-digit code (grd_jahr).

5.6.14 Year of last appearance (lzt_jahr)

Variable label year of last appearance Variable name lzt_jahr Category establishment variables Origin BeH Data type numerical Hierarchy none


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This variable indicates the last appearance of the establishment number in the dataset (see Bender et. al. 1996). If the existence of an establishment number in the BHP already ends before 2008, it could indicate the closure of the establishment. However, other possible reasons for this are an “arbitrary change of the establish-ment number following a change of owner or a change in the legal form of the establishment”, the “outsourcing of parts of the firm under a new establishment number” or other administrative changes (see Bender et. al. 1996 or Bundesagentur für Arbeit 2007, p. 9-11).

5.6.15 Last appearance (lzt_dat)

Variable label last appearance Variable name lzt_dat Category establishment variables Origin BeH Data type date Hierarchy none


This variable indicates the last appearance of the establishment number in the dataset to the date (see Bender et. al. 1996). If the existence of an establishment number in the BHP already ends before 2008, it could indicate the closure of the establishment. However, other possible rea-sons for this are an “arbitrary change of the establishment number fol-lowing a change of ownership or a change in the legal form of the es-tablishment”, the “outsourcing of parts of the firm under a new establish-ment number” or other administrative changes (see Bender et al. 1996 or Bundesagentur für Arbeit 2007, p. 9-11).

Notes

Owing to its particular sensitivity with regard to data protection legisla-tion, this variable is only made available in non-aggregated form on ap-plication and only in well-founded cases. Otherwise, the economic ac-tivity is only shown as the 3-digit code (lzt_jahr).

5.6.16 Total number of employees (az_ges)

Variable label no. employees Variable name az_ges Category generated establishment variables Origin BeH


This variable contains the total number of an establishment’s employees reported to the social security agencies as of 30 June of a year. Since the introduction of the new notification regulations in 1999, people in marginal part-time employment have also been recorded. Part-time em-ployees and dormant employment relationships (daily wage of zero) are also included.

5.6.17 Number of full-time employees (regular workers + others) (az_vz)

Variable label No. full-time (regular workers + others) Variable name az_vz


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Category generated establishment variables Origin BeH Hierarchy none


This variable contains the number of an establishment’s full-time em-ployees on 30 June of a year. People in marginal part-time employment and dormant employment relationships (daily wage of zero) are not in-cluded here.

5.6.18 Total number of marginal part-time workers (az_gf)

Variable label no. marginal part-time workers Variable name az_gf Category generated establishment variables Origin BeH Hierarchy none


The number of employees in marginal part-time employment is gener-ated using the person group code – values 109 and 209. This variable has only been contained in the dataset since 1999 as it has only been included in the social security notification procedure since that year.

5.6.19 Mean imputed wage all full-time employees (te_imp_mw)

Variable label Mean imp. wage all full-time employees Variable name te_imp_mw Category generated establishment variables Origin BeH Data type numerical Hierarchy none


This variable contains the mean imputed gross daily wage of the full-time employees in an establishment. It does not include the wages of marginally part-time staff, apprentices or individuals participating in partial retirement schemes. The values are reported in euros for all years. According to the social security notification regulations, employers must indicate the employee’s gross wage subject to social security contributions for a certain period of time (fixed period wage). Until the end of 1998, employers had to report the gross wage subject to social security contributions only. So only wages above the marginal part-time income threshold and below the contribution assessment ceiling were recorded. Since 1999, wages below the marginal part-time in-come threshold have also been recorded as part of the new notifica-tion procedure. Gross wages above the contribution assessment ceil-ing, however, are still cut. In order to calculate the gross daily wage, the fixed period wage is divided by the number of calendar days in the period. To calculate the mean, these censored wages were imputed (see Section 8.2 in Schmucker et al. 2016). These data were then aggregated at estab-lishment level.


70

5.6.20 Place of work: district (Kreis) (ao_kreis)

Variable label Place of work: district (Kreis) Variable name ao_kreis Category location data Origin BeH Data type numerical Hierarchy federal state | district


The variable indicates the district (urban district or rural district) in which the employee’s establishment is located. The first two digits of the 5-digit district code (Kreisschlüssel) show the code for the federal state (Bundesland), positions 1-3 indicate the regional authority (Regierungs-bezirk), and positions 1-5 show the district authority (Kreis). Federal states without a regional authority have a 0 in the third position. In order to guarantee consistent regional allocations across the entire observation period, the information on the district was recoded to the territorial allocation of 31 December 2010, i.e. in all calendar years, a place of work is assigned to a district in accordance with the boundaries that the district had on 31 December 2010. As the district boundaries have changed over time, cases would occur in which the district code of the location of the establishment would change without the establish-ment concerned having relocated, if the territorial allocations were not updated.

Notes

Owing to its particular sensitivity with regard to data protection legisla-tion, this variable is only made available in non-aggregated form on ap-plication and only in well-founded cases. Otherwise, only the federal state (ao_bula) is shown as regional information.

5.6.21 Place of work: federal state (Bundesland) (ao_bula)

Variable label Place of work: federal state (Bundesland) Variable name ao_bula Category location data Origin BeH Data type numerical Hierarchy federal state | district


The variable indicates the federal state in which the establishment is located. This variable is generated from the district key number (ao_kreis). The first two positions of the district key number indicate the federal state.

5.7 Generated biographical variables

5.7.1 First day in employment (ein_erw)

Variable label First day in employment Variable name ein_erw Category generated biographical variables


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Origin generated from BeH Data type date Hierarchy none


This variable specifies the date of start of employment subject to social security in the IEB. Training periods are not included (erwstat == 102, 121, 122, 141). Persons have always a missing value, if they pass a training period in the IEB but do not have an employment covered by the social security system. The first day in employment (ein_erw) can occur a long time after the first day in establishment (ein_bet) and the first day in job (ein_job) be-cause in the latter cases training periods are included.

Note on quality

For West Germans the variable is left censored on 1.1.1975. For East Germans the censoring is not so clear. Entries on 1.1.1990 are cen-sored for sure, but often also entries on 1.1.1991 and 1.1.1992 may be affected because in 1990 and 1991 many employment notifications are missing.

5.7.2 Number of days in employment (tage_erw)

Variable label Number of days in employment Variable name tage_erw Category generated biographical variables Origin generated from BeH Data type numerical Hierarchy none


The variable contains the number of days, which an individual has worked till the 30 June of a year (Cross-sectional Model) or to the end date of the respective episode (Longitudinal Model). Training periods are not taken into account (erwstat == 102, 121, 122, 141). If an indi-vidual was just in training, the variable adopts the value 0. The number of days in employment (tage_erw) can be zero, even though the variable first day in employment (ein_erw) is filled. This hap-pens, when individuals have not entered the work force until the 30 June of the respective year (Cross-sectional Model) or still not entered the work force until the end of the episode (Longitudinal Model).

Note on quality


5.7.3 First day in establishment (ein_bet)

Variable label First day in establishment Variable name ein_bet Category generated biographical variables Origin generated from BeH Data type date Hierarchy none


72


This variable contains the start date of the first employment notification in the current establishment in the IEB. Training periods are also con-sidered. An interruption of the employment in the establishment does not change the start date, i.e. it is constant for each combination of in-dividual and establishment number. The first day in employment (ein_erw) can occur a long time after the first day in establishment (ein_bet) and the first day in job (ein_job) because in the latter cases training periods are included. This variable is coded missing (.n) if the establishment ID is missing or if the grund variable indicates a lump sum payment (grund == 54).

Note on quality


5.7.4 Number of days in establishment (tage_bet)

Variable label Number of days in establishment Variable name tage_bet Category Generated biographical variables Origin Generated from BeH Data type numeric Hierarchy none


The variable contains the number of days a person has been working in the respective establishment. In the Cross-sectional Model the dura-tion is calculated until the 30 June of this year, in the Longitudinal Model until the end of the episode. Training periods are also included, mean-while employment gaps are not. If the number of days in the establishment is alternatively calculated with the variable First day in establishment (ein_bet) in QM: gen tag_bet_neu = mdy(6,30,jahr) – ein_bet + 1 in LM: gen tag_bet_neu = endepi – ein_bet + 1 the values, which are obtained, are larger than or equal to the variable tage_bet, because tage_bet does not include interruptions of employ-ment. Number of days in establishment (tage_bet) can be larger than Duration of a working life (tage_erw). The variable tage_bet includes periods of education, tage_erw doesn’t include these periods. This variable is coded missing (.n) if the establishment ID is missing or if the grund variable indicates a lump sum payment (grund == 54).


73

Note on quality


5.7.5 First day in job (ein_job)

Variable label First day in job Variable name ein_job Category generated biographical variables Origin generated from BeH Data type numerical Hierarchy none


This variable contains the start date of the first employment notification in the current job. Training periods (erwstat == 102, 121, 122, 141) in the same establish-ment are treated as separate jobs, even if they follow directly or are followed directly by a job in the same establishment. An employment in the same establishment after a gap is considered a new job if - the reason for notification of the last employment record before the gap indicates the end of the last job (grund = 30, 34, 40 or 49) and the gap is longer than 92 days or - the reason for notification of the last employment record before the gap does not indicate the end of the last job and the gap is longer than 366 days. The first day in job (ein_job) cannot occur before the first day in estab-lishment (ein_bet), but it can occur before first day in employment (ein_erw). This variable is coded missing (.n) if the establishment ID is missing or if the grund variable indicates a lump sum payment (grund == 54).

Note on quality


5.7.6 Number of days in job (tage_job)

Variable label Numbers of days in job Variable name tage_job Category generated biographical variables Origin generated from BeH Data type numerical Hierarchy none


74


The variable counts how many days a person has been working in the current job. Training periods (erwstat == 102, 121, 122, 141) in the same establish-ment are treated as separate jobs, even if they follow directly or are followed directly by a job in the same establishment. An employment in the same establishment after a gap is considered a new job if - the reason for notification of the last employment record before the gap indicates the end of the last job (grund = 30, 34, 40, or 49) and the gap is longer than 92 days or - the reason for notification of the last employment record before the gap does not indicate the end of the last job and the gap is longer than 366 days. In the Cross-sectional Model this duration relates to 30 June of the year, in all other LIAB data it relates to the end of the episode. Training periods in the establishment are included, employment gaps not. If the number of days in the current job is alternatively calculated with the first day in job variable (ein_job), in QM:gen tage_job_neu = mdy(6,30,jahr) – ein_job+1 in LM:gen tage_job_neu = endepi – ein_job+1 the values obtained are larger or equal than the variable tage_job be-cause it does not include interruptions of employment. This variable is coded missing (.n) if the establishment ID is missing or if the grund variable indicates a lump sum payment (grund == 54).

Note on quality


5.7.7 Number of days with benefit receipt (tage_lst)

Variable label Number of days of benefit receipt Variable name tage_lst Category generated biographical variables Origin generated from LeH Data type numerical Hierarchy none


The variable contains the number of days of benefit receipts of a person until the 30 June of each year (Cross-sectional Model) or the end date of the respective episode (Longitudinal Model). If there are no benefit receipts, the variable adopts the value 0. Other payments (e.g. benefits according to SGB II, the former unem-ployment assistance, etc.) than unemployment benefits (Ar-beitslosengeld) have not considered for this variable. This allows a con-sistent evaluation of this variable over time. Moreover, periods of paral-lel employment have not been considered for this variable.


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Note on quality



76

6 References

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pflege im Rahmen des Meldeverfahren zur Sozialversicherung. Ausgabe Dezember 2007, Nürnberg.

Bundesagentur für Arbeit (2009): Klassifikation der Wirtschaftszweige 1973, Nürnberg.

URL: http://statistik.arbeitsagentur.de/Navigation/Statistik/Grundlagen/Klassifikation-der-Wirtschaftszweige/Klassifikation-der-Wirtschaftszweige-1973-2003/Klassifikationen-der-Wirtschaftszweige-1973-2003-Nav.html (Zugriff 13.06.2016).

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Bundesanstalt für Arbeit (1988): Klassifikation der Berufe – Systematisches und Alphabeti-sches Verzeichnis der Berufsbennung, Nürnberg. URL: http://statistik.arbeitsagentur.de/Navigation/Statistik/Grundlagen/Klassifikation-der-Be-rufe/KldB1975-1992/KldB1975-1992-Nav.html (Zugriff: 13.06.2016).

Cramer, Ulrich (1985): Probleme der Genauigkeit der Beschäftigtenstatistik. In: Allgemeines Statistisches Archiv 69: S. 56-68.

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ber-sozialversicherung-2016.pdf (Zugriff: 13.06.2016)

Drews, Nils (2006): Qualitätsverbesserung der Bildungsvariable in der IAB-Beschäftigten-stichprobe 1975-2001. FDZ-Methodenreport 05/2006 (de), Nürnberg, 16 S.

http://statistik.arbeitsagentur.de/Statischer-Content/Grundlagen/Methodenberichte/Beschaeftigungsstatistik/Generische-Publikationen/Methodenbericht-Neue-Erbebungsinhalte-Arbeitszeita-ausgeuebte-Taetigkeit-sowie-Schul-und-Berufsabschluss-in-der-Beschaeftigungsstatistik.pdf




http://statistik.arbeitsagentur.de/Navigation/Statistik/Grundlagen/Klassifikation-der-Wirtschaftszweige/Klassifikation-der-Wirtschaftszweige-1973-2003/Klassifikationen-der-Wirtschaftszweige-1973-2003-Nav.html



http://statistik.arbeitsagentur.de/Navigation/Statistik/Grundlagen/Klassifikation-der-Berufe/KldB2010/Printausgabe-KldB2010/Printausgabe-KldB-2010-Nav.html

http://statistik.arbeitsagentur.de/Navigation/Statistik/Grundlagen/Klassifikation-der-Berufe/KldB2010/Printausgabe-KldB2010/Printausgabe-KldB-2010-Nav.html

http://statistik.arbeitsagentur.de/Navigation/Statistik/Grundlagen/Klassifikation-der-Berufe/KldB1975-1992/KldB1975-1992-Nav.html

http://statistik.arbeitsagentur.de/Navigation/Statistik/Grundlagen/Klassifikation-der-Berufe/KldB1975-1992/KldB1975-1992-Nav.html

https://www.deutschebkk.de/fileadmin/user_upload/microsites/arbeitgeber/medien/pdf/ratgeber-sozialversicherung-2016.pdf

https://www.deutschebkk.de/fileadmin/user_upload/microsites/arbeitgeber/medien/pdf/ratgeber-sozialversicherung-2016.pdf


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Eberle, Johanna; Jacobebbinghaus, Peter; Ludsteck, Johannes; Witter, Julia (2011): Generation of time-consistent industry codes in the face of classification changes * Simple heuristic based on the Establishment History Panel (BHP). FDZ-Methodenreport 05/2011 (en), Nürnberg, 21 S.

Fischer, Gabriele; Janik, Florian; Müller, Dana; Schmucker, Alexandra (2008): Das IAB-

Betriebspanel - von der Stichprobe über die Erhebung bis zur Hochrechnung. FDZ- Methodenreport 01/2008 (de), Nürnberg, 42 S.

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improve the education variable in the IAB employment subsample. In: Schmollers Jahr-buch. Zeitschrift für Wirtschafts- und Sozialwissenschaften, Jg. 126, H. 3, S. 405-436.

Ludsteck, Johannes; Thomsen, Ulrich (2016): Imputation of the Working Time Information

for the Employment Register Data. FDZ-Methodenreport 01/2016 (en), Nürnberg.

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Umsteigeschlüssel. FDZ-Methodenreport 08/2013 (de), Nürnberg. Schmucker, Alexandra; Seth, Stefan; Ludsteck, Johannes; Eberle, Johanna; Ganzer,

Andreas (2016): Betriebs-Historik-Panel 1975-2014. FDZ-Datenreport 03/2016 (de), Nürnberg.

Statistisches Bundesamt (2002): Klassifikation der Wirtschaftszweige, Ausgabe 1993 (WZ

93), Wiesbaden. URL: https://www.destatis.de/DE/Methoden/Klassifikationen/GueterWirtschaftklassifikatio-nen/Content75/KlassifikationWZ93.html (Zugriff: 13.06.2016).

Statistisches Bundesamt (2003): Klassifikation der Wirtschaftszweige, Ausgabe 2003 (WZ 2003), Wiesbaden. URL: https://www.destatis.de/DE/Methoden/Klassifikationen/GueterWirtschaftklassifikatio-nen/Content75/KlassifikationWZ2003.html (Zugriff: 13.06.2016).

Statistisches Bundesamt (2008): Klassifikation der Wirtschaftszweige, Ausgabe 2008 (WZ 2008), Wiesbaden. URL: https://www.destatis.de/DE/Methoden/Klassifikationen/GueterWirtschaftklassifikatio-nen/Content75/KlassifikationWZ08.html (Zugriff: 13.06.2016).

Wermter, Winfried; Cramer, Ulrich (1988): Wie hoch war der Beschäftigtenanstieg seit

1983? – Ein Diskussionsbeitrag aus der Sicht der Beschäftigtenstatistik der Bundesanstalt für Arbeit. In: Mitteilungen aus der Arbeitsmarkt – und Berufsforschung 4/88, S. 468-482.

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7 Appendix

7.1 Frequency tables

Frequency tables and overviews of the individual values and labels of the variables can be found in separate files under http://fdz.iab.de.

.

http://fdz.iab.de/


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8 List of abbreviations

ALG Arbeitslosengeld unemployment benefit ARGE Arbeitsgemeinschaft co-operation of employment agencies

and municipalities ASU Arbeitsuchendenhistorik Jobseeker History A2LL Arbeitslosengeld II – Leistungen zum

Lebensunterhalt unemployment benefit II - benefits to secure a livelihood

BA Bundesagentur für Arbeit Federal Employment Agency BeH Beschäftigtenhistorik Employee History BHP Betriebs-Historik-Panel Establishment History Panel BMAS Bundesministerium für Arbeit und

Soziales Federal Ministry of Labour and Social Affairs

coArb Computerunterstützte Arbeitsvermitt-lung (operatives Verfahren zur Ver-waltung der Vermittlung (Altverfah-ren))

computer-aided job placement (proce-dure for the administration of job placements – old procedure)

DEÜV Verordnung über die Erfassung und Übermittlung von Daten für die Trä-ger der Sozialversicherung – Daten-erfassungs- und –übermittlungs-Ver-ordnung –

Data Collection and Transmission Regulation - regulation on the collec-tion and transmission of data for the social security agencies

DEVO Zweite VO über die Erfassung von Daten für die Träger der Sozialversi-cherung und für die BA – Datener-fassungs-Verordnung –

Data Collection Regulation - second regulation on the collection of data for the social security agencies and for the Federal Employment Agency

DÜVO Zweite VO über die Datenübermitt-lung auf maschinell verwertbaren Datenträgern im Bereich der Sozial-versicherung und der BA – Daten-übermittlungs-Verordnung –

Data Transmission Regulation - sec-ond regulation on the transfer of data on machine-readable data media in the field of social security and the BA

EDV Elektronische Datenverarbeitung Electronic data processing FDZ Forschungsdatenzentrum Research Data Centre FELEG Gesetz zur Förderung der Einstel-

lung der landwirtschaftlichen Er-werbstätigkeit

Act on the Support in Case of Termi-nation of Farming Activities

gAw Träger mit getrennter Aufgaben-wahrnehmung

Municipalities exercising their duties separately

gE Gemeinsame Einrichtungen Joint facility IAB Institut für Arbeitsmarkt- und Berufs-

forschung Institute for Employment Research

IABS IAB-Beschäftigtenstichprobe IAB Employment Samples IEB Integrierte Erwerbsbiographien Integrated Employment Biographies ISIC International Standard Industrial

lassification of All Economic Activi ties

International Standard Industrial Clas-sification of All Economic Activities

KldB Klassifikation der Berufe Classification of Occupations LeH Leistungsempfängerhistorik Benefit Recipient History LIAB Linked-Employer-Employee-Daten

des IAB Linked Employer-Employee Data of the IAB

LHG Leistungshistorik Grundsicherung Unemployment Benefit II Recipient History


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MTH Maßnahmeteilnehmer-Historik Participants-in-Measures History File NACE Nomenclature génerale des activités

économiques dans les communau-tés européennes

Nomenclature génerale des activités économiques dans les communautés européennes

SGB Sozialgesetzbuch German Social Code VerBIS Vermittlungs- und Beratungsinforma-

tionssystems Information System for Placement and Counselling

XASU Arbeitsuchenden-Historik aus XSo-zial-BA-SGB II

Jobseeker History from XSozial-BA-SGB II

zkT Zugelassene kommunale Träger Authorised municipalities

01/2009

FDZ-Datenreport 5/2016 (EN)

Dana Müller, Dagmar Theune

Dagmar Theune

http://doku.iab.de/fdz/reporte/2016/DR_05-16_EN.pdf

Wolfram Klosterhuber Institute for Employment Research (IAB) Research Data Centre (FDZ) Regensburger Str. 104 D-90478 Nürnberg Phone: +49-911-179-7007 Email: [email protected]

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